Cadence Protium prototyping platforms rapidly bring up an SoC or system prototype and provide a pre-silicon platform for early software development, SoC verification, system validation, and hardware regressions. In this Training W ebinar, we will explore debugging using Save/Restart on Protium X2 . This feature saves execution time and lets you focus on actual debugging. The system state can be saved before the bug appears and restartS directly from there without spending time in initial execution. We’ll cover key concepts and applications, explore Save/Restart performance metrics, and provide examples to help you understand the concepts. Agenda: The key concepts of debugging using save/restart Capabilities, limitations, and performance metrics Some examples to enable and use save/restart on the Protium X2 system Date and Time Thursday, November 7, 2024 07:00 PST San Jose / 10:00 EST New York / 15:00 GMT London / 16:00 CET Munich / 17:00 IST Jerusalem / 20:30 IST Bangalore / 23:00 CST Beijing REGISTER To register for this webinar, sign in with your Cadence Support account (email ID and password) to log in to the Learning and Support System*. Then select Enrol to register for the session. Once registered, you’ll receive a confirmation email containing all login details. A quick reminder: If you haven’t received a registration confirmation within 1 hour of registering, please check your spam folder and ensure your pop-up blockers are off and cookies are enabled. For issues with registration or other inquiries, reach out to eur_training_webinars@cadence.com . Want to See More Webinars? You can find recordings of all past webinars here Like This Topic? Take this opportunity and register for the free online course related to this webinar topic: Protium Introduction Training The course includes slides with audio and downloadable lab exercises designed to emphasize the topics covered in the lecture. There is also a Digital Badge available for the training. Want to share this and other great Cadence learning opportunities with someone else? Tell them to subscribe . Hungry for Training? Choose the Cadence Training Menu that’s right for you. To view our complete training offerings, visit the Cadence Training website . Related Courses Protium Introduction Training Course | Cadence Palladium Introduction Training Course | Cadence Related Blogs Training Insights – A New Free Online Course on the Protium System for Beginner and Advanced Users Training Insights – Palladium Emulation Course for Beginner and Advanced Users Related Training Bytes Protium Flow Steps for Running Design on Protium System ICE and IXCOM mode comparison ICE compile flow IXCOM compile flow PATH settings for using Protium System Please see the course learning maps for a visual representation of courses and course relationships. Regional course catalogs may be viewed here

The Sigrity and Systems Analysis (SIGRITY/SYSANLS) 2024.1 release is now available for download at Cadence Downloads . For the list of CCRs fixed in this release, see the README.txt file in the installation hierarchy. SIGRITY/SYSANLS 2024.1 Here is a list of some of the key updates in the SIGRITY/SYSANLS 2024.1 release: For more details about these and all the other new and enhanced features introduced in this release , refer to the following document: Sigrity Release Overview and Common Tools What's New . Supported Platforms and Operating Systems Platform and Architecture X86_64 (lnx86) Windows (64 bit) Development OS RHEL 8.4 Windows Server 2022 Supported OS RHEL 8.4 and above RHEL 9 SLES 15 (SP3 and above) Windows 10 Windows 11 Windows Server 2019 Windows Server 2022 Systems Analysis 2024.1 Clarity 3D Solver Clarity 3D Layout Structure Optimization Workflow : A new workflow, Clarity 3D Layout Structure Optimization Workflow, has been added to Clarity 3D Layout. This workflow integrates Allegro PCB Designer with Clarity 3D Layout for high-speed structure optimization. Component Geometry Model Editor : The new Clarity 3D Layout editor lets you set up ports, solder bumps/balls/extrusions, and two-terminal and multi-terminal circuits using a single GUI. Coaxial Open Port Option Added to Port Setup Wizard : The Coaxial Open Port option lets you create ports for each target net pin and reference net pin in Clarity 3D Layout. The nearby reference net pins are then used as a reference for each target net pin, reducing the number of ports needed. In addition, the ports of unused reference net pins are shorted to the ground. Parametric Import Option Added : Two new options, Parametric Import and Default Import , have been added to the Tools – Launch Clarity3DWorkbench menu. The Parametric Import option lets you import the design along with its parameters into Clarity 3D Workbench. The Default Import option lets you ignore the parameters when importing the design into Clarity 3D Workbench. Component Library Added to Generate 3D Components : Clarity 3D Workbench now includes a new component library that lets you use predefined 3D component templates or add existing 3D components to create 3D designs and simulation models. AI-Powered Content Search Capability : Clarity 3D Workbench and Clarity 3D Transient Solver now support an AI-powered capability for searching the content and displaying relevant information. Expression Parser to Handle Undefined Parameters : Clarity 3D Workbench and Clarity 3D Transient Solver support writing expressions or equations containing undefined parameters in the Property window to describe a simulation variable. The improved expression parser automatically detects any undefined parameter in an expression and prompts users to specify their values. This capability lets you define a model or a simulation variable as a function instead of specifying static values. For detailed information, refer to Clarity 3D Layout User Guide and Clarity 3D Workbench User Guide on the Cadence Support portal. Clarity 3D Transient Solver Mesh Processing Improved to Simulate Large Use Cases : Clarity 3D Transient Solver leverages a new meshing algorithm that enhances overall mesh processing, specifically for large designs and use cases. The new algorithm dramatically improves the mesh quality, minimum mesh size, number of mesh key points, total mesh number, and memory usage. Advanced Material Processing Engine : The material processing capability has been enhanced to handle thin outer metal, which previously resulted in open and short issues in some designs. In addition, the material processing engine offers improved mode extraction for particular use cases, including waveguide and coaxial designs. Characteristic Impedance Calculation Improved : The solver engine now uses a new analytical calculation method to calculate the characteristic impedance of coaxial designs with improved accuracy. For detailed information, refer to Clarity 3D Transient Solver User Guide on the Cadence Support portal. Celsius Studio Celsius Interchange Model Introduced : Celsius Studio now supports Celsius Interchange Model generation, which is a 3D model derived from detailed physical designs for multi-physics and multi-scale analysis. This Celsius Interchange Model file ( .cim ) serves as a design information carrier across Celsius Studio tools, enabling a variety of simulation and analysis tasks . Celsius 3DIC Thermal Workflow Improvements : The Thermal Simulation workflows in Celsius 3DIC have been significantly enhanced. Key improvements include: Advanced Power Setup with Transient Power Function and Multi Mode options Enhanced GUI for the Mesh Control and Simulation Control tabs Improved meshing capabilities Celsius Interchange Model ( .cim ) generation Material library support for block and connections Import of Heat Transfer Coefficients (HTCs) from a CFD file Bump creation through the Bump Array Wizard Layer Stackup CSV file generation Celsius 3DIC Warpage and Stress Workflow Enhancements : The Warpage and Stress workflow in Celsius 3DIC has undergone significant improvements, such as: Improved multi-stage warpage simulation flow for 3DIC packaging process Enhanced GUI for the Mesh Control , Simulation Control , and Stress Boundary Conditions tabs Support for large deformations and temperature profiles Bump creation through the Bump Array Wizard New constraint types Enhanced meshing capabilities Geometric Nonlinearity Support in Warpage and Stress Analysis : Large deformation analysis is now supported in warpage and stress studies. This study uses the Total Lagrangian approach to model geometric nonlinearities in simulation, which allows accurate prediction of final deformations. Thermal Network Extraction and Simulation : In the solid extraction flow in Celsius 3D Workbench, you can now import area-based power map files to create terminals. For designs with multiple blocks, this capability allows automatic terminal creation, eliminating the need to manually create and set up 2D sheets individually. Additionally, thermal throttling feature is now supported in Celsius Thermal Network. This makes it ideal for preliminary analyses or when a quick estimation is required. It runs significantly faster than 3D models, allowing for quicker iterations and more efficient decision-making. For detailed information, refer to the Celsius 3DIC User Guide , Celsius Layout User Guide and Celsius 3D Workbench User Guide on the Cadence Support portal. Sigrity 2024.1 Layout Workbench Improved Graphical User Interface : A new option, Use Improved User Interface , has been added in the Themes page of the Options dialog box in the Layout Workbench GUI. In the new GUI, the toolbar icons and menu options have been enhanced and rearranged. For detailed information, refer to Layout Workbench User Guide on the Cadence Support portal. Broadband SPICE Python Script Integration with Command Line for Simulation Tasks : Broadband SPICE lets you run Python scripts directly from the command line for performing simulation and analysis. The new -py and *.py options make it easier to integrate Python scripts with the command-line operations. This update streamlines the process of automating and customizing simulations from the command line, which makes your simulation tasks faster and easier. For detailed information, refer to Broadband SPICE User Guide on the Cadence Support portal. Celsius PowerDC Block Power Assignment (BPA) File Format Support : PowerDC now supports the BPA file format. Similar to the Pin Location (PLOC) file, the BPA file is a current assignment file that defines the total current of a power grid cell, which is then equally distributed across the power pins within the cell. This provides better control over the power distribution. Ability to Run Multiple IR Drop Cases Sequentially : You can now select multiple result sinks from the Current-Limited IR Drop flow and run IR Drop analysis for them sequentially. PowerDC automatically runs the simulations in sequence after you select multiple result sinks. This saves time by automating the process. Enhanced Support for Mixed Conversion Devices : PowerDC now supports mixing different conversion devices, such as switching regulators and linear regulators within a single DC-DC/LDO instance. This enhancement offers added flexibility by letting you configure each instance in your design according to your specific needs. For detailed information, refer to PowerDC User Guide on the Cadence Support portal. PowerSI Monte Carlo Method Added : A new option, Monte Carlo Method, has been added in the Optimality dialog box. This option lets you create multiple random samples to depict variations in the input parameters and assess the output. Channel Check Optimization Added : The S-Parameter Assessment workflow in PowerSI now supports Channel Check Optimization . It uses the AI-driven Multidisciplinary Analysis and Optimization (MDAO) technology that lets you optimize your design quickly and efficiently with no accuracy loss. For detailed information, refer to PowerSI User Guide on the Cadence Support portal. SPEEDEM Multi-threaded Matrix Solver Support Added : The Enable Multi-threaded Matrix Solver check box has been added that lets you accelerate the simulation speed for high-performance computing. This check box provides two options, Automatic and Always, to include the -lhpc4 or -lhpc5 parameter, respectively, in the SPEEDEM Simulator (SPDSIM) before running the simulation. For detailed information, refer to the SPEEDEM User Guide on the Cadence Support portal. XtractIM Options to Skip or Calculate Special DC-R Simulation Results : The Skip DC_R of Each Path and Only DC_R of Each Path options have been added to the Setup menu. Skip DC_R of Each Path : This option lets you skip the calculation of the DC-R result during the simulation. Other results, such as SPICE T-model , RL_C of Each Path , Coupling of Each Path , etc., are still calculated. Only DC_R of Each Path : This option lets you calculate the DC-R result only during the simulation. Other results, such as SPICE T-model , RL_C of Each Path , Coupling of Each Path , etc., are not calculated. Color Assignment for Pin Matching : The MCP Auto Connection window includes the Display Color Editor , which lets you assign a color for pin matching. It helps you easily identify the matching pins in the left and right sections of the MCP Auto Connection window . Ability to Save Simulations Individually : The Save each simulation individually check box has been added to the Tools - Options - Edit Options - Simulation (Basic) - General form. Select this check box and run the simulation to generate a simulation results folder containing files and logs with a timestamp for each simulation. Reuse of SPD File Settings : The XtractIM setup check box lets you import an existing package setup to reuse the configurations and settings from one .spd file to another. For detailed information, refer to XtractIM User Guide on the Cadence Support portal. Documentation Enhancements Cloud-Based Help System Upgraded The cloud-based help system, Doc Assistant, has been upgraded to version 24.10, which contains several new features and enhancements over the previous 2.03 version. Sigrity Release Team Please send your questions and feedback to sigrity_rmt@cadence.com .

This November, the engineering and simulation community is set to converge in China for an event that promises to be nothing short of revolutionary. The 2024 BETA CAE Systems China Open Meeting, taking place in the vibrant cities of Beijing and Shanghai on November 5 and 7 , respectively, is a must-attend for anyone looking to stay at the forefront of technological innovation in simulation solutions. Prepare to be inspired by Ben Gu , the visionary Corporate VP of Research and Development at Cadence. He will lead both meetings in Beijing and Shanghai with his keynote on " A New Millennium in Multiphysics System Analysis ." This thought-provoking keynote is expected to provide attendees with a glimpse into the future of engineering simulation and analysis. What sets the BETA CAE Systems Open Meetings apart is not just the high caliber of speakers but also the hands-on training sessions designed to enhance your technical expertise with the BETA CAE software suite. Whether you are an inexperienced individual seeking to acquire fundamental knowledge or an accomplished professional endeavoring to hone your expertise, these training sessions following the open meetings are meticulously tailored to meet your needs. Join Us at the BETA CAE Systems Open Meeting in Beijing The BETA CAE Systems Open Meeting in Beijing will feature a keynote speech by Peng Qiao , Senior Engineer at Great Wall Motors Co., Ltd, on Multidisciplinary Optimization Techniques for Automotive Control Arms . ( View detailed agenda for Beijing. ) When: November 5, 2024 Where: Grand Metropark Hotel Beijing If this sounds interesting, register today for the BETA CAE Systems Beijing Open Meeting by clicking the button below. Don't Miss Out on the BETA CAE Systems Open Meeting in Shanghai After the BETA CAE Systems Open Meeting in Beijing, the next meeting in China will be in Shanghai. During this event, Liu Deping, CAE Engineer from Zhejiang Geely Automobile Research Institute Co., Ltd, will deliver a keynote speech on the Application of ANSA in the Simulation Development Cycle . ( View detailed agenda for Shanghai. ) When: November 7, 2024 Where: InterContinental Shanghai Jing'an Following the open meeting on November 7 will be an exclusive training day on November 8. This session will provide attendees with practical experience using the BETA CAE software to improve their technical skills and provide hands-on knowledge of the software. If you find this intriguing, register now for the BETA CAE Systems Shanghai Open Meeting by clicking the button below. Why Attend? Gain firsthand insights into the latest developments in simulation technology Learn from real-world applications and success stories from various industries Connect and exchange ideas with experts in a collaborative environment Mark your calendars for this unparalleled opportunity to explore the forefront of simulation technology. Whether you're aiming to broaden your knowledge, enhance your technical skills, or connect with industry leaders, the BETA CAE Systems Open Meetings are your gateway to the future of engineering. Join us and be part of shaping the next wave of innovation in the simulation world.

Wild River Technology (WRT), the leading supplier of signal integrity measurement and optimization test fixtures for high-speed channels at data rates of up to 224G, has announced the availability of a new advanced channel modeling solution that helps achieve extreme signal integrity design to 70GHz. Read the press release. The CMP-70 program continues the industry-first simulation-to-measurement collaboration with Cadence that was initially established with the CMP-50. Significant resources were dedicated to the development of the CMP-70 by Cadence and WRT over almost three years. The CMP-70 will be on display at DesignCon 2025 , January 28-30, in Cadence booth 827 to benchmark the Cadence Clarity 3D Solver . “I am not a fan of hype-based programs that simply get attention,” remarked Alfred P. Neves, WRT’s co-founder and chief technical officer. “Both Cadence and Wild River brought substantial skills to the table in this project as we continued our industry-first simulation-to-measurement collaboration. The result is a proven, robust and accurate platform that brings extreme signal integrity to 70GHz designs. This application package has also been instrumental in demonstrating the robust 3D EM simulation capability of the Cadence Clarity solver.” “We’re delighted to continue the joint development and validation program with WRT that started with the CMP-50,” said Gary Lytle, product management director at Cadence. “The skilled and experienced signal integrity technologists that both companies bring to the program results in a superior signal integrity solution for our mutual customers.” CMP-70 Solution Features The solution is available both in a standard configuration and as a custom solution for customer-specific stackups and fabrication. The primary target application is to support a 3D EM solver analysis modeling versus the time- and frequency-domain measurement methodologies. The solution features include: The CMP-70 platform, assembled and 100% TDR NIST traceable tested, with custom stands Material Identification overview web-based meeting including anisotropic 3D material identification A cross-section PCB report and structures for using as-fabricated geometries Measured S-parameters, pre-tested for quality (passivity/causality and resampled for time domain simulations) A host of novel crosstalk structures suited for 112G HD level project analysis PCB layout design files (NDA required) An EDA starter library including loss models with industry-first accurate surface roughness models Comprehensive training available for 3D EM analysis – correspondence, material ID in X-Y and Z axis for a host of EDA tools Industry-First Hausdorff Technique The WRT application package also includes an industry-first modified Hausdorff (MHD) technique , included as MATLAB code. This algorithmic approach provides an accurate way to compare two sets of measurements in multi-dimensional space to determine how well they match. The technique is used to compare the results simulated by the Clarity solver with those measured on the CMP-70 platform. The methodology and initial results are shown in the figure below, where the figure of merit (FOM) is calculated from 10, 35, and finally to 50GHz. The MHD algorithm requires a MATLAB license, but WRT also accommodates customer data as another option, where WRT provides the comparison between measured and simulated data. Additional Resources If you are attending DesignCon 2025 , be sure to stop by Cadence booth 827 to see WRT’s CMP-70 advanced channel modeling solution in action with the Clarity 3D Solver. Check out our on-demand webinar, " Validating Clarity 3D Solver Accuracy Through Measurement Correlation ." Learn more about the CMP-70 solution and the Clarity 3D Solver . For more information about Cadence’s full suite of integrated multiphysics simulation solutions, download our Multiphysics System Analysis Solutions Portfolio .

Allegro X System Capture offers a complete ecosystem for library development. This post introduces the latest DE-HDL Library Development using System Capture course in which you learn how to create different library objects. As a librarian, you often work with numerous libraries. Your tasks include creating or modifying symbols for libraries. To use Allegro X System Capture to create a library, you can follow the steps in the following flowchart: Let’s go through each step in detail. Setting the CDS_SITE Variable Before you start library development for a new project, set the CDS_SITE system environment variable. This step is required to access libraries and other configuration files. Creating a Project in Allegro X System Capture The next step is to create a project in Allegro X System Capture. Adding a Library to the Project Symbol development consists of creating symbol graphics, electrical data, and properties used by different tools in the PCB design flow. To add a library to a project, first create a library in the Libraries pane of the Project e xplorer. Creating Library Symbols The library development process supports the creation of various types of symbols. Creating a Symbol with Multiple Views You can generate multiple views of the same symbol using the Duplicate command. For example, a discrete symbol, such as a resistor, can have multiple views, as shown in the following image: Creating a Split Symbol For advanced designs, you often need to create library symbols and break them into multiple sections to support the design process. When a symbol shows all the logical pins in the physical package, it is called a single-section or flat symbol. Many large ICs have several pins and the symbols need to fit on a single schematic page. One workaround is to use vector pin names on a symbol to reduce its size, although manufacturers prefer schematics that show each pin. You can divide these high-pin count devices into smaller pieces, where each piece is a separate version of the part. Such parts are referred to as split parts or multi-section symbols. For multi-section symbols, you can create two types of split parts—symmetrical and asymmetrical. Symmetrical Split Symbols A symmetrical split symbol has only one symbol graphic, which holds two or more identical logic symbols, each with its own unique physical pin numbers. You can create a symmetrical split symbol using the Duplicate Section icon in the canvas window. Each symbol section contains the same set of pins but different pin numbers, as shown in the following image: Asymmetrical Split Symbols An asymmetrical split symbol is a symbol whose physical package contains one or more unique schematic symbols. You can create an asymmetrical split symbol by clicking the New Section icon in the canvas window. Asymmetrical symbols have a unique set of logical pins, as shown in the following image: Creating Symbols Using the Spreadsheet Interface To simplify the development of large symbols, Allegro X System Capture has a Spreadsheet Interface . You can copy from a spreadsheet into the interface. This saves time and helps minimize errors introduced by manual entry. In conclusion, the DE-HDL library development using Allegro X System Capture course involves several critical steps and supports various symbol creation techniques. This course helps librarians create and modify symbols effortlessly and deepens their understanding of library development within Allegro X System Capture. To learn more about this topic, enroll in the DE-HDL Library Development using Allegro X System Capture course on the Cadence Support portal . Click the training byte link now or visit Cadence Support and search for training bytes under Video Library. If you find the post useful and want to delve deeper into training details, enroll in the following online training course for lab instructions and a downloadable design: DE-HDL Library Development using Allegro X System Capture (Online). You can become Cadence Certified once you complete the course. Cadence Training Services now offers free Digital Badges for all popular online training courses. These badges indicate proficiency in a certain technology or skill and give you a way to validate your expertise to managers and potential employers. You can add the digital badge to your email signature or any social media channels, such as Facebook or LinkedIn, to highlight your expertise. To find out more, see the blog post Take a Cadence Masterclass and Get a Badge . You might also be interested in the training Learning Map that guides you through recommended course flows as well as tool experience and knowledge-level training modules. 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As a verification engineer, you’re surely looking for ways to automate the debugging process. Have you developed your own scripts to ease specific debugging steps that tools don’t offer? Working with scripts locally and manually is challenging—so is reusing and organizing them. What if there was a way to create your own app with the required functionality and register it with the tool? The answer to that question is “Yes!” The Verisium Debug Python App Store lets you instantly add additional features and capabilities to your Verisium Debug Application using Python Apps that interact with Verisium Debug via the Python API. Join me, Principal Education Application Engineer Bhairava Prasad, for this Training Webinar and discover the Verisium Debug Python App Store. The app store allows you to search for existing apps, learn about them, install or uninstall them, and even customize existing apps. Date and Time Wednesday, November 20, 2024 07:00 PST San Jose / 10:00 EST New York / 15:00 GMT London / 16:00 CET Munich / 17:00 IST Jerusalem / 20:30 IST Bangalore / 23:00 CST Beijing REGISTER To register for this webinar, sign in with your Cadence Support account (email ID and password) to log in to the Learning and Support System*. Then select Enroll to register for the session. Once registered, you’ll receive a confirmation email containing all login details. A quick reminder: If you haven’t received a registration confirmation within one hour of registering, please check your spam folder and ensure your pop-up blockers are off and cookies are enabled. For issues with registration or other inquiries, reach out to eur_training_webinars@cadence.com . Like this topic? Take this opportunity and register for the free online course related to this webinar topic: Verisium Debug Training To view our complete training offerings, visit the Cadence Training website Want to share this and other great Cadence learning opportunities with someone else? Tell them to subscribe . Hungry for Training? Choose the Cadence Training Menu that’s right for you. Related Courses Xcelium Simulator Training Course | Cadence Related Blogs Unveiling the Capabilities of Verisium Manager for Optimized Operations - Verification - Cadence Blogs - Cadence Community Verisium SimAI: SoC Verification with Unprecedented Coverage Maximization - Corporate News - Cadence Blogs - Cadence Community Verisium SimAI: Maximizing Coverage, Minimizing Bugs, Unlocking Peak Throughput - Verification - Cadence Blogs - Cadence Community Related Training Bytes Introducing Verisium Debug (Video) (cadence.com) Introduction to UVM Debug of Verisium Debug (Video) (cadence.com) Verisium Debug Customized Apps with Python API Please see course learning maps a visual representation of courses and course relationships. Regional course catalogs may be viewed here . *If you don’t have a Cadence Support account, go to Cadence User Registration and complete the requested information. Or visit Registration Help .

This year, the Cadence Giving Foundation (CGF) launched Fem.AI to achieve a more inclusive tech sector, and the inaugural Fem.AI Summit that took place on October 1 was a luminary in a world where technology is evolving at an unprecedented pace. The summit not only excelled in its mission to enlighten, empower, and mobilize stakeholders across various industries on the issue of gender disparity in high tech and AI, but was a celebration of innovation, diversity, and empowerment. As we reflect on the moments that made the summit unforgettable, it's clear that the event was more than just a meeting of minds—it was a movement for change! Shaping Tomorrow Together Cadence’s president and CEO, Anirudh Devgan, stated, “Women’s talent and perspectives are crucial to shaping the future of AI.” Devgan’s words epitomized the driving force behind the first-ever Fem.AI Summit which brought together innovators, educators, business leadership, and investors across industries to create an ecosystem that ensures women can fully participate in the AI revolution and burgeoning AI economy. The energy of pioneers ready to collectively disrupt the status quo filled the air, and as the day-long summit began, it became clear that we were part of something truly groundbreaking. The event's lineup of speakers held discussions that went beyond the technical aspects of AI, emphasizing the vital importance of diversity in technology. Such insights were lent by leading voices from MIT, Stanford, and UC Berkeley, who set the stage for inspiring discussions with speakers like Dr. Joy Buolamwini, Founder of the Algorithmic Justice League, and Reshma Saujani, Founder and CEO of Moms First and Girls Who Code. Included in this lineup of leading figures was Dr. Chelsea Clinton, Vice Chair of the Clinton Foundation, who left us with her hopes for the future of women in AI: “I’m hoping because of company-wide commitments like what we’re experiencing here today thanks to Cadence, that the people who will be part of designing [future technologies] will have a different group of people around the proverbial table or the computer screens doing that… and that women will be more integral into the conceptualization and then the actualization of AI-driven enterprises.” The hopes and visions for women in AI cannot manifest in a vacuum, they must be achieved with the support of individuals and systems from education all the way to the upper echelons of leadership. It is with this understanding, that Fem.AI is committed to investing in women at every stage of their STEM journey. Breaking Barriers It is with this ideal that we were honored to hear from women breaking through barriers of gender, race, and class in achieving pinnacles of success in areas of science and technology. Dr. Sarah H. Chen, Postdoctoral Researcher at Stanford and Thriving Stars Scholar at MIT, Niki Karanikola, Machine Learning Engineer and Break Through Tech AI Scholar at MIT, and Katya Echazarreta, NASA’s first Mexican Astronaut, showcased the resilience and determination that drive progress within and beyond our industry. Through their stories of persevering despite all odds, we were reminded that supporting students in STEM can create generational change with impacts beyond the realms of AI and technology. The final speaker at the Cadence Fem.AI Summit, the trailblazing Brandi Chastain, Founder of Bay FC, World Cup Champion, and Olympic Gold Medalist, left us with a powerful reminder that when faced with this opportunity: “Our purpose needs to be intentional” especially in building the future of technology and AI where “diversity is not something to be afraid of, but something to be embraced.” Echoing this sentiment, summit attendees left the event reminded of the crucial role we collectively play in ensuring women are part of this tech revolution. Moving Forward While the summit may have concluded, its impact will continue through individuals, companies, and communities aspiring to achieve an equitable tech sector. This is just the start, and we must take collective action now. We hope that you will join Cadence to ensure that we clear the path and catalyze women's role in the AI revolution! Meet Our Partners Our partners are making Fem.AI’s vision a reality through their important work advancing women in technology, including fostering STEM excellence in higher education, launching STEM careers, and achieving gender diversity in leadership. Learn more about the important work of each of our partners by visiting their pages: Break Through Tech Last Mile Education Fund Fast Forward Generation VC Include Global Semiconductor Alliance Join the Fem.AI Alliance Joining the Fem.AI Alliance signals that your company or institution is committed to evolving the AI workforce. By increasing the representation of women in AI, we aim to broaden the talent pool and the perspective so that AI represents us all. Through the Fem.AI Alliance, companies and institutions can share best practices, guidance, and inspiration. Since its launch, companies like the Equinix Foundation, NetApp, NVIDIA, Unity Technologies, and Workday have joined the Alliance in their commitment to Fem.AI’s work and mission. Visit Fem.AI to get involved today or contact Fem.AI@cadence.com .

In this edition of the Women in CFD series, we feature Vassiliki Moschou, aka Vicky, senior supervisor at BETA CAE, now part of Cadence. Her career journey serves as an inspiration for anyone who believes that studying in one field and working in another is less desirable. Vicky demonstrates how knowledge gained in one discipline can be effectively applied in another, often providing fresh and intriguing insights. Join us in this conversation to learn more about Vicky, her career path, and her advice for those considering a career in a field different from their studies. Tell us something about yourself. I've lived all my 41 years in the vibrant city of Thessaloniki, Greece. I’m married to my high school sweetheart, and together we're raising two incredible daughters who are 11 and almost 8 years old. These girls are absolutely the center of my world, and every day with them feels like a gift. My entire life, including where I have built my career and family, is deeply rooted in Thessaloniki. It's not just where I am from; it's a big part of who I am. Could you share your educational background and how you first became interested in computational fluid dynamics (CFD)? In 2001, I started my academic journey at the Computer Science Department of Aristotle University of Thessaloniki , where I focused on studying signal processing and artificial intelligence. This field fascinated me, and I pursued a master’s degree in the same area to further my expertise. Concurrently, I was involved in European research programs on signal/audio processing and machine learning methodologies. It became evident early on that my career would revolve around software engineering, a path I was fully prepared to pursue. However, everything took a turn when I joined BETA CAE in 2008. It was there that I was introduced to the field of CFD, which was completely unfamiliar to me at the time. This presented a new challenge that I eagerly accepted. I received support from all my colleagues, but I was primarily mentored by two brilliant and dedicated engineers, Michael Giannakidis and Vangelis Skaperdas , who introduced me to the world of CFD. Over time, what was once an unknown territory for me has become my passion. My journey through CFD has been a significant part of my professional growth. In my 30s, I pursued and completed a PhD in systems physiology in collaboration with the Medical and Computer Science Departments of Aristotle University of Thessaloniki. Our research focused on examining the EGF-activated MAPK pathway (often associated with cancer) from the perspective of complex self-organizing systems. Using graph theory, signal processing, and machine learning, we extracted information from the signals observed in this dynamic, distributed biological system to target novel drug development. What are the different positions you have held within the company, and what responsibilities do you currently hold? I started my career as a junior engineer at BETA CAE (now Cadence). It was a role that plunged me deep into the fascinating worlds of software and CFD, a crucial time of my career filled with learning and growth. My hard work and dedication didn't go unnoticed, and after a few years, I was promoted. That promotion was the first step on a career ladder that I've been ascending ever since. Now, I'm in the position of a senior supervisor. Though my job now involves a wide range of managerial tasks, I'm still deeply passionate about the technical side of things. I love writing code and working through the complexities of our projects, merging my leadership responsibilities with my enthusiasm for the technical facets of our work. What would you be doing if not working in CFD? Had my career taken a different trajectory, I envision myself in a role deeply embedded in human connections—perhaps as the owner of a quaint bakery or a cozy hotel, a teacher, or even venturing into human resources. There's a certain allure in careers that foster direct engagement with people, creating experiences and memories. In fact, I have an inherent desire to connect and communicate with people, aspects that are fundamentally different yet equally fulfilling as my current career. What are some of your favorite pastimes and hobbies? Family is at the center of my leisure time. We love taking short trips to the village, hanging out with our friends, and connecting. Our activities range from solving puzzles in escape rooms to passionately cheering at basketball games, especially since my older daughter has taken up the sport. But beyond these activities, being a mother is my most cherished pastime. The moments I share with my daughters, the lessons we learn together, and the joy we find in everyday adventures are what I hold dear. What are your thoughts on women in technical fields? The landscape for women in technical fields is gradually transforming, a change I observe with optimism and hope. In Greece, the increasing presence of women in engineering is a positive sign. In Cadence specifically, the representation of women is high compared to other tech companies. As a mother to two daughters, I am acutely aware of the importance of being a role model to them. It's crucial to demonstrate that aspirations should not be limited by gender and that the technical field is as much a place for women as it is for men. Encouraging this mindset is vital for the progress of our society and for the empowerment of the next generation of women in technology. Advice from Vicky for those considering a career in a field different from their studies: Learning is a lifelong journey. Embrace every challenge as an opportunity to grow and learn something new. Stay curious and adaptable to navigate the ever-evolving landscape of technology. Being labeled an 'expert' is less important than the willingness to learn and adapt. Finding happiness in your work can lead to natural success. In the epoch of artificial intelligence, train the most powerful neural network: your brain. At Cadence, our commitment is towards establishing an inclusive workspace where women feel empowered to achieve their professional best. Anchored by our One Cadence—One Team ethos, we take pride in fostering a community where our driven, devoted, and skilled women employees excel, making exceptional contributions to our customers, communities, and one another. Are you just like Vicky, venturing beyond your academic background, and considering a career in a different domain while being surrounded by an encouraging and uplifting atmosphere? Then, you won't want to miss exploring career opportunities at Cadence—celebrated as 'A Great Place for Women to Work'! Click the button below to discover your next adventure! Learn more about Cadence Fem.AI Alliance, which aims to lead the gender equity revolution in the AI workforce.

DDR5 DIMM Architectures The DDR5 generation of Double Data Rate DRAM memories has experienced rapid adoption in recent years. In particular, the JEDEC-defined DDR5 Dual Inline Memory Module (DIMM) cards have become a mainstay for systems looking for high-density, high-bandwidth, off-chip random access memory[1]. Within a short time, the DIMM architecture evolved from an interconnected hierarchy of only SDRAM memory devices (UDIMM[2]) to complex subsystems of interconnected components (RDIMM/LRDIMM/MRDIMM[3]). DIMM Designs and Popular Verification Use Cases The growing complexity of the DIMMs presented a challenge for pre-silicon verification engineers who could no longer simply validate against single DDR5 SDRAM memory models. They needed to consider how their designs would perform against DIMMs connected to each channel and operating at gigahertz clock speeds. To address this verification gap, Cadence developed DDR5 DIMM Memory Models that encapsulated all of the architectural complexities presented by real-world DIMMs based on a robust, easy-to-use, easy-to-debug, and easy-to-reconfigure methodology. This memory-subsystem-in-a-single-instance model has seen explosive adoption among the traditional IP Developer and SOC Integrator customers of Cadence Memory Models. The Cadence DIMM models act as a single unit with all of the relevant DIMM components instantiated and interconnected within, and with all AC/Timing parameters among the various components fully matched out-of-the-box, based on JEDEC specifications as well as datasheets of actual devices in the market. The typical use-case for the DIMM models has been where the DUT is a DDR5 Memory Controller + PHY IP stack, and the validation plan mandated compliance with the JEDEC standards and Memory Device vendor datasheets. Unique Use Case for the DIMM Discrete Component Models Although the Cadence DIMM models have enjoyed tremendous proliferation because of their cohesive implementation and unified user API, the actual DIMM Models are built on top of powerful, flexible discrete component models, each of which was designed to stand on its own as a complete SystemVerilog UVM-based VIP. All of these discrete component models exist in the Cadence VIP Catalog as standalone VIPs, complete with their own protocol compliance checking capabilities and their own configuration mappings comprehensively modeling individual AC/Timing parameters. Because of this deliberate design decision, the Cadence DIMM Discrete Component Models can support a unique use-case scenario. Some users seek to develop IC Designs for the various DIMM components. Such users need verification environments that can model the individual components of a DIMM and allow them the option to replace one or another component with their Component Design IP. They can then validate that their component design is fully compatible with the rest of the components on the DIMM and meets the integrity of the overall DIMM compliance with JEDEC standards or Memory Vendor datasheets. The Cadence Memory VIP portfolio today includes various examples that demonstrate how customers can create DIMM “wrappers” by selecting from among the available DIMM discrete component models and “stitching” them together to build their own custom testbench around their specific Component Design IP. A Solution for Unique Component Scenarios The Cadence DDR5 DIMM Memory Models and DIMM Discrete Component Models can provide users with a flexible approach to validating their specific component designs with a fully populated pre-silicon environment. Augmented Verification Capabilities When the DIMM “wrapper” model is augmented with the Cadence DFI VIP[4] that can simulate an MC+PHY stack and offers a SystemVerilog UVM test API to the verification engineer, the overall testbench transforms into a formidable pre-silicon validation vehicle. The DFI VIP is designed as a combination of an independent DFI MC VIP and a DFI PHY VIP connected to each other via the DFI Standard Interface and capable of operating seamlessly as a single unit. It presents a UVM Sequence API to the user into the DFI MC VIP with the Memory Interface of the PHY VIP connected to the DIMM “wrapper” model. With this testbench in hand, the user can then fully take advantage of the UVM Sequence Library that comes with the DFI VIP to enable deep validation of their Component Design inside the DIMM “wrapper” model. Verification Capabilities Further Enhanced A possible further enhancement comes with the potential addition of an instance of the Cadence DIMM Memory Model in a Passive Monitor mode at the DRAM Memory Interface. The DIMM Passive Monitor consumes the same configuration describing the DIMM “wrapper” in the testbench, and thus can act as a reference model for the DIMM wrapper. If the DIMM Passive Monitor responds successfully to accesses from the DFI VIP, but the DIMM wrapper does not, then it exposes potential bugs in the DUT Components or in the settings of their AC/Timing parameters inside the DIMM wrapper. Debuggability, Interface Visibility, and Protocol Compliance One of the key benefits of the DIMM Discrete Component Models that become manifest, whether in terms of the unique use-case scenario described here, or when working with the wholly unified DDR5 DIMM Memory Models, is the increased debuggability of the protocol functionality. The intentional separation of the discrete components of a DIMM allows the user to have full visibility of the memory traffic at every datapath landmark within a DIMM structure. For example, in modeling an LRDIMM or MRDIMM, the interface between the RCD component and the SDRAM components, the interface between the RCD component and the DB components, and the interface between the SDRAM components and the DB components—all are visible and accessible to the user. The user has full access to dump the values and states of the wire interconnects at these interfaces to the waveform viewer and thus can observe and correlate the activity against any protocol violations flagged in the trace logs by any one or more of the DIMM Discrete Component Models. Access to these interfaces is freely available when using the DIMM Discrete Component Models. On the unified DDR5 DIMM Memory Models, a feature called Debug Ports enables the same level of visibility into the individual interconnects amidst the SDRAM components, RCD components, and DB components. When combined with the Waveform Debugger[5] capability that comes built-in with the VIPs and Memory Models offered by Cadence and used with the Cadence Verisium Debug[6] tool, the enhanced debuggability becomes a powerful platform. With these debug accesses enabled, the user can pull out transaction streams, chip state and bank state streams, mode register streams, and error message streams all right next to their RTL signals in the same Verisium Debug waveform viewer window to debug failures all in one place. The Verisium Debug tool also parses all of the log files to probe and extract messages into a fully integrated Smart Log in a tabbed window fully hyperlinked to the waveform viewer, all at your fingertips. A Solution for Every Scenario Cadence's DDR5 DIMM Memory Models and DIMM Discrete Component Models , partnered with the Cadence DFI VIP, can provide users with a robust and flexible approach to validating their designs thoroughly and effectively in pre-silicon verification environments ahead of tapeout commitments. The solution offers unparalleled latitude in debuggability when the Debug Ports and Waveform Debugger functions of the Memory Models are switched on and boosted with the use of the Cadence Verisium Debug tool. [1] Shyam Sharma, DDR5 DIMM Design and Verification Considerations , 13 Jan 2023. [2] Shyam Sharma, DDR5 UDIMM Evolution to Clock Buffered DIMMs (CUDIMM) , 23 Sep 2024. [3] Kos Gitchev, DDR5 12.8Gbps MRDIMM IP: Powering the Future of AI, HPC, and Data Centers , 26 Aug 2024. [4] Chetan Shingala and Salehabibi Shaikh, How to Verify JEDEC DRAM Memory Controller, PHY, or Memory Device? , 29 Mar 2022. [5] Rahul Jha, Cadence Memory Models - The Gold Standard , 15 Apr 2024. [6] Manisha Pradhan, Accelerate Design Debugging Using Verisium Debug , 11 Jul 2023.

Hearing is one of the most essential senses for engaging with the world. It enables us to converse, appreciate music, and remain alert to our surroundings. Hearing loss is a prevalent issue affecting millions of individuals globally and disconnecting them from a world where sound is vital to others and the environment. The World Health Organization (WHO) reports that over 5% of the global population requires hearing rehabilitation, a striking statistic highlighting this issue's pervasive nature. Technology has transformed audiology, evolving from simple ear trumpets to sophisticated modern hearing aids. This advancement began with the invention of the transistor, paving the way for devices that are fully wearable inside or behind the ear. Although hearing aids have been available for many years, historically, access to these critical devices has been insufficient, resulting in numerous individuals lacking the necessary support. However, recent advances in hearing aid technology promise improved acoustic experiences, employing modern techniques like binaural processing and neural networks. These innovations demand sophisticated architecture to balance high memory needs with low power consumption in a user-friendly design. Cadence is at the forefront of this technological evolution, offering tools and IP solutions that enhance the accessibility, efficiency, and impact of hearing aids, paving the way for a more inclusive future. This blog explores how Cadence's advanced DSPs are transforming hearing aid design and making them more accessible, efficient, and impactful. Hearing Aids: A Testament to Human Ingenuity The transition from analo g to digital technology in the late 20th century further transformed hearing aids, offering superior sound quality, customization, and the ability to connect to various electronic devices, thus enhancing the user experience markedly. Today's hearing aids are highly effective, versatile, and nearly invisible, a significant advancement from early attempts to address hearing loss. They also feature advanced noise cancellation and connectivity options, allowing users to integrate seamlessly into the digital world. This progression not only highlights the industry's commitment to improving user experience and accessibility but also offers a glimpse into a future where hearing loss is no longer a barrier. Challenges Despite advancements and sophistication, there are several challenges related to hearing aid design and adoption. Users demand smaller, more discreet devices that don't sacrifice performance. While the shift towards sleeker designs is aesthetically pleasing, it introduces substantial complexities in product design. Designers face the challenges of integrating essential components, such as batteries and peripherals, into increasingly compact spaces. Power consumption remains a critical concern, as these devices must remain operational throughout the day. Leveraging neural networks to enhance the signal-to-noise ratio (SNR) for better quality demands additional memory capacity. Consequently, there is a pressing need for flexible, low-power architectures that incorporate all necessary memory and peripherals without compromising the device’s compact size. Adopting AI for adjusting hearing aid volume to fit an individual's specific auditory requirements is a significant challenge and demands more memory and effort. Besides this, reliability and cost are significant challenges for manufacturers. Cadence's Role in Transforming Hearing Aids In hearing aid development, the capacity to evaluate the energy efficiency of SoCs across different frequencies in real time is crucial. These applications demand cohesive, energy-efficient solutions that can uphold high performance. The Cadence Tensilica HiFi and Fusion F1 DSP family emphasize minimal power usage while providing robust performance, ideally suited for a wide range of audio and voice applications. The Cadence Tensilica HiFi DSP family, a high-performance audio technology with AI acceleration and advanced DSP capability, offers feature-rich audio, speech, and imaging for wearables, automotive, home entertainment, digital assistants, and ASR. The Tensilica HiFi DSP family accelerates innovation with its comprehensive instruction set and supports fixed- and floating-point data types. Simplifying software development, it offers C/C++ programming, an auto-vectorizing compiler, and a rich DSP software library through the Cadence Tensilica Xplorer development environment. With the flexibility to customize and enhance performance through additional instructions and better I/O bandwidth, the Tensilica HiFi and Fusion DSP families offer a robust, low-energy audio solution compatible across an expansive software ecosystem for various applications and devices. Conclusion Technological advancements are driving hearing aid evolution; the future of hearing aids lies in further miniaturization and functionality enhancement. Cadence's ongoing innovations aim to improve signal processing and noise reduction, even in challenging environments. The integration of neural networks promises more apparent sound transmission and greater adaptability. Cadence is working on improving how these devices process signals and reduce noise and has initiated a collaborative venture with distinguished entities like GlobalFoundries (GF), Hoerzentrum Oldenburg gGmbH, and Leibniz University Hannover. This collaboration has borne fruit in the form of the industry's first binaural hearing aid system-on-chip (SoC) prototype, the Smart Hearing Aid Processor ( SmartHeAP ). Learn More Cadence, GlobalFoundries, Hoerzentrum Oldenburg and Leibniz University Hannover Collaborate to Advance Hearing Aid Technology Cadence Extends Battery Life and Improves User Experience for Next-Generation Hearables, Wearables and Always-On Devices Advancing the Future of Hearing Aids with Cadence Bluetooth LE Audio, Hearing Aids, and Mindtree

Celebrated for their unparalleled engineering expertise and pioneering mindset, McLaren stands at the forefront of innovation. Theirs is a story of engineering excellence, a symphony of speed driven by the relentless pursuit of aerodynamic perfection. In 2022, Cadence was named an Official Technology Partner of the McLaren Formula 1 Team. The multi-year partnership between McLaren and Cadence has helped redefine the boundaries of what’s possible in Formula 1 aerodynamics. Shaving off a fraction of a second per lap can make all the difference in a podium finish, and track conditions bring layers of complexity to the design process. That’s where Cadence steps in with Fidelity CFD Software. The Cadence Fidelity CFD software is a comprehensive suite of computational fluid dynamics (CFD) solutions. Access to this solution allows the McLaren F1 team to accelerate their CFD workflow, enabling them to assess designs faster and more precisely. It also allows them to investigate airflows and tackle design projects that require advanced compute power and precision. With Fidelity Flow’s solver capabilities and Python-driven automation, Cadence’s CFD software aids the advancement of aerodynamic simulations that go into McLaren’s F1 cars. With a customized, high-quality, multi-block meshing strategy and optimized workflow, Fidelity CFD makes design exploration more automated, thereby helping establish a strong foundation for McLaren’s future success on the track. Lando Norris, F1 driver for McLaren, said, “As a driver, I saw the impact of every decision made in the design room in every simulation run. The work on aerodynamics directly translates to the confidence I have on track, the grip in every turn, and the speed on every straight. This partnership, this technology, is what will give us the edge. It's not just about battling opponents; it's about mastering the airflow around the car in every driving condition on every track.” If you’re interested in learning more about the importance of CFD in McLaren’s racing success, be sure to attend our upcoming webinar, “CFD and Experimental Aerodynamics in McLaren F1 Engineering.” Christian Schramm, McLaren’s director of advanced projects, and Cadence’s Benjamin Leroy will be the main speakers for the event. Register today to secure your spot! For more insights on the Formula 1 car design process, take a look at the case study, “ McLaren Formula 1 Car Aerodynamics Simulation with Cadence Fidelity CFD Software .” Learn more about how McLaren and Cadence are engineering success . “Designed with Cadence” is a series of videos that showcases creative products and technologies that are accelerating industry innovation using Cadence tools and solutions. For more Designed with Cadence videos, check out the Cadence website and YouTube channel .

An increasing number of embedded designs are multi-core systems. At the pre-silicon stage, customers use a simulation platform for architectural exploration and software development. Architects want to quantify the impact of the number of cores, local memory size, system memory latency, and interconnect bandwidth. Software teams wish to have a practical development platform that is not excruciatingly slow. This blog shares a recipe for simulating Cadence DSPs in a multi-core design as separate x86 processes. The purpose is to reduce simulation time for customers with simple multi-core models where cores interact only through shared memory. It uses a Vision Q8 multi-core design to share details of the XTSC (Xtensa SystemC) model, software application, commands, and debugging. Note the details shared are for a simulation run on an Ubuntu Linux machine, Xtensa tools version RI-2023.11, and core configuration XRC_Vision_Q8_AODP. Complex vs. Simple Model A complex model (Figure 1) is one in which one core accesses another core's local memory, or there are inter-core interrupts. Simulation runs as a single x86 process. Figure 1 A simple model (Figure 2) is one in which cores interact only through shared memory. Shared memory is a file on the Linux host. Figure 2 Multiple x86 Process – Simple Model As depicted in Figure 3, each core is simulated using a separate x86 process. Cores use barriers and locks placed in shared memory for synchronization and data sharing. Locks are placed in un-cached memory that support exclusive subordinate access. The XTSC memory component, xtsc_memory , supports exclusive subordinate access. Cadence software tools provide a way to define memory regions as cached or uncached. For more details, please refer to Cadence's Linker Support Packages (LSP) Reference Manual for Xtensa SDK . Figure 3 Demo Application A demo application performs a 128x128 matrix multiplication. Work is divided so that each of the 32 cores computes four rows of the 128x128 result matrix. Cores use barriers to synchronize. Cadence tools provide APIs for synchronization and locking. Please refer to Cadence's System Software Reference Manual for more details. Note without a higher-level lock, prints from all cores will get mixed up. Therefore, in the demo application, only core#0 prints. SystemC Simulation The following sample command runs the 32-core simulation in such a way that each core is a separate x86 process. It runs a matrix multiplication application in cycle-accurate mode with logging off. >>for (( N=0; N >xtsc-run -define=NumCores=32 -define=N=0 -define=LOGGING=0 -define=TURBO=0 --xxdebug=sync -i=coreNN.inc -sc_main=sc_main.cpp -no_sim Modify the sc_main.cpp generated for core#0 to create a generic sc_main.cpp to build a single simulation executable for all cores. The Xtensa SDK includes Makefile targets to build custom simulations. By default, the simulation runs in cycle-accurate mode. Fast functional (Turbo) mode provides additional improvement over cycle-accurate mode. Note that the fast functional mode has an initialization phase, so gains are visible only when running an application with longer run times. Simulation Wall Time The table captures simulation wall time improvements. Note that these are illustrative wall time numbers. Actual wall time numbers and improvements will depend on your host machine's performance and your application. Simulation Type Wall Time Comments Single process cycle accurate mode 17500 seconds Multiple x86 processes cycle accurate mode 1385 seconds 12X faster than single process Multiple x86 processes turbo mode 415 seconds 3X faster than cycle accurate mode Debugging Attaching a debugger to each of the individual x86 core simulation processes is possible. Synchronous stop/resume and core-specific breakpoints are also supported. Configure the Xplorer launch configuration and attach it to the running simulation processes as follows (Figure 5) Figure 5 Figure 6 shows 32 debug contexts. Figure 6 As shown, using Xtensa SDK, you can create a multi-core simulation that functions as a practical software development platform. Please visit the Cadence support site for information on building and simulating multi-core Xtensa systems.

This post was contributed by Liliko Uchida, application engineer at Cadence. Being a “Woman in STEM” is a phrase that has long been used to describe the holistic experience shared by thousands of women globally, yet it still makes us feel isolated. Partially due to the statistics of gender population in the STEM workforce and the remainder due to our own internal obstacles, being a woman in STEM continues to be a challenge. While many of us know the should-do’s and should-be’s of taking on this unique role objectively, we struggle to implement them. After all, our perseverance as engineers, mathematicians, businesswomen, programmers, and scientists is largely affected by subjectivity. The UMass Lowell Women’s Leadership Conference 2024 aimed to tackle this problem by uniting hundreds of women with shared experiences under one roof. Not only did the conference provide us with the knowledge necessary to persevere, but it also gave us the tools that will allow us to thrive and act upon the facts we already know. It is my hope that through this blog post, I can share some of my main takeaways from this special day. Be Confident This is one of the most palpable pieces of advice we always hear. Yet so many of us struggle to build this confidence because we don’t know how. Featured speaker Nicole Kalil defined confidence as “complete trust in oneself”.”One way to build this self-trust is by getting to know yourself on a deeper level. By creating a true inner connection, we begin to see ourselves as a whole instead of hyper-focusing on our shortcomings frequently illusioned by imposter syndrome. In one of the sessions, we were asked to introduce ourselves to our neighbors, not by what we do for work, but by who we are as a person. Even if this opportunity does not arise every day, this practice can be done simply by listing characteristics of yourself that define who you are. Who do you care for? How do you show them? What are your life goals oriented towards? How do you observe others’ behavior around you, and what does that say about how you make them feel? Getting to know you beneath the surface and allowing yourself to be seen for who you are is critical in building internal confidence. With practice, this self-reassurance will grow independent of external factors. Take Risks “Sometimes, you have to put your foot in the elevator” - Barb Vlacich, Keynote Speaker When opportunities arise, the only thing you can do to have a chance is to try. Without putting your foot in the elevator, the doors will close, becoming a missed opportunity. Similarly, several of the conference’s speakers also emphasized that the answer to every unasked question will always be a no. Even if you are not ready to full-send a negotiation, ask for a raise, or respectfully disagree with a co-worker’s opinion, start by getting comfortable asking uncomfortable questions. Just one discomfort a day will help in building an immunity to the anxiety that comes with taking risks, typically driven by our self-doubt. Another interesting point that stood out from the conference was the statistics of self-assessed qualifications between men and women. During the negotiation panel, it was revealed that men typically feel they only need 60% of the qualifications under a job description to apply, whereas women often feel they need close to 100%. These numbers alone demonstrate how the pure mental habits of men continue to funnel them into STEM and not women. The next time you seek a new opportunity, assess yourself based on the 60% and use it as a checklist threshold. If more women are able to pursue STEM careers using these numbers, the more likely we will begin to populate these roles. Build Your Genuine Network “ The essence of communication lies in the mutual exchange of ideas and emotions. And when the listener isn’t invested, it undermines the entire purpose of the conversation. Why are you having it anyway?” This is a quote from episode 186 of Julie Brown’s podcast This Sh!t Works called “The 5 Steps to Being an Active Listener”. Julie Brown is a Networking Coach, author, and podcast host who guided an energetic and candid conversation about networking and building a personal brand for women. Networking is often misunderstood as putting your name and qualifications out on the table for as many people to pick up your cards. While making these things known is important, they are not what nurtures effective connections. The key to cultivating your genuine network is to activate a sincere interest in the people you meet. Become the proactive receiver of the confidence exercise discussed above. When you meet someone new, what can you take away from them as a person, not an employee? By making people feel heard, even through the little conversations, you can begin to develop more meaningful connections that resonate. And, with practice, the sometimes inherent need to overcompensate by defining yourself with your resume will slowly fade. It was a wonderful opportunity to attend the UML Women’s Leadership Conference with four other inspiring Cadence women. Not only was the conference a motivating learning experience, but it was also a wonderful opportunity for us to bond together as women and feel supported by each other. The most eye-opening part of the day was seeing just how many women alike were sitting under the same roof. The conclusion of the event led me to feel proud to be an engineer, proud to be at Cadence, and most importantly, proud to be a woman. Learn more about life at Cadence .

The demand for higher compute performance, energy efficiency, and faster time-to-market drove the conversations at this year's Open Compute Project (OCP) Global Summit in San Jose, California. It was the scene of showcasing groundbreaking innovations, expert-led sessions, and networking opportunities to drive the future of data center technology. For those who didn't get to attend or stop by our booth, here's a recap of Cadence's comprehensive solutions that enable next-generation compute technology, AI data center design, analysis, and optimization. Optimized Data Center Design and Operations As the data center community increasingly faces demands for enhanced efficiency, thermal management, sustainability, and performance optimization, data center operators, IT managers, and executives are looking for solutions to these challenges. At the Cadence booth, attendees explored the Cadence Reality Digital Twin Platform and Celsius EC Solver. These technologies are pivotal in achieving high-performance standards for AI data centers, providing advanced digital twin modeling capabilities that redefine next-generation data center design and operation. The Celsius EC Solver demonstration showed how it solves challenging thermal and electronics cooling management problems with precision and speed. CadenceCONNECT: Take the Heat Out of Your AI Data Center Cadence hosted a networking reception on October 16 titled "Take the Heat Out of Your AI Data Center." In today's AI era, managing the heat generated by high-density computing environments is more critical than ever. This reception offered insights into current and emerging data center technologies, digital twin cooling strategies that deliver energy-saving operations, and a chance to engage with industry leaders, Cadence experts, and peers to explore the latest cooling, AI, and GPU acceleration advancements. Here's a recap: Researcher, author, and entrepreneur Dr. Jon Koomey highlighted the inefficiency of data centers in his talk "The Rise of Zombie Data Centers," noting that 20-30% of their capacity is stranded and unused. He advocated for organizational changes and technological solutions like digital twins to reduce wasted energy and improve computational effectiveness as AI deployments increase. In "A New Millennium in Multiphysics System Analysis," Cadence Corporate VP Ben Gu explained the company's significant strides in multiphysics system analysis, evolving from chip simulation to a broader application of computational software for simulating various physical systems, including entire data centers. He noted that the latest Cadence venture, a digital twin platform for data center optimization, opened the opportunity to use simulation technology to optimize the efficiency of data centers. Senior Software Engineering Group Director Albert Zeng highlighted the Cadence Reality DC suite's ability to transform data center operations through simulation, emphasizing its multi-phase engine for optimal thermal performance and the integration of AI capabilities for enhanced design and management. A panel discussion titled "Turning AI Factory Blueprints into Reality at the Speed of Light" featured industry experts from NVIDIA, Norman Wright Precision Environmental and Power, NV5, Switch Data Centers, and Cadence, who explored the evolving requirements and multidimensional challenges of AI factories, emphasizing the need for collaboration across the supply chain to achieve high-performing and sustainable data centers. Watch the highlights. Transforming Designs from Chips to Data Centers The OCP Global Summit 2024 has reaffirmed its status as a pivotal event for data center professionals seeking to stay at the forefront of technological advancements. Cadence's contributions, from groundbreaking digital twin technologies to innovative cooling strategies, have shed light on the path forward for efficient, sustainable data centers. For data center professionals, IT managers, and engineers, the insights gained at this summit are invaluable in navigating the challenges and opportunities presented by the burgeoning AI era. Partnering with Arm Arm Total Design Cadence is a member of the Arm Total Design program. At an invitation-only special Arm event, Cadence's VP of Research and Development, Lokesh Korlipara, delivered a presentation focusing on data center challenges and design solutions with Arm Neoverse Compute Subsystem (CSS). The session highlighted: Efficient integration of Arm Neoverse CSS into system on chips (SoCs) with pre-integrated connectivity IP Performance analysis and verification of the Neoverse CSS integration into the SoC through Cadence's System VIP verification suite and automated testbench creation, enhancing both quality and productivity Jumpstarting designs through Cadence's collaboration with Arm for 3D-IC system planning, chiplets, and interposers Design Services readiness and global scale to support and/or deliver the most demanding Arm Neoverse CSS-based SoC design projects Cadence Supports Arm CSS in Arm Booth During the event, Cadence conducted a demo in the Arm booth that showcased the Cadence System VIP verification suite. The demo highlighted automated testbench creation and performance analysis for integrating the Arm CSS into SoCs while enhancing verification quality and productivity. Summary Cadence offers data center solutions for designing everything from the compute and networking chips to the board, racks, data centers, and campuses. Stay connected with Cadence and other industry leaders to continue exploring the innovations set to redefine the future of data centers. Learn More Cadence Joins Arm Total Design Cadence Arm-Based Solutions Cadence Reality Digital Twin Platform

On November 5, 2024, the Cadence Bangalore Toastmasters Club celebrated a significant milestone by hosting its 50th meeting. Established in December 2020, the club was created to provide a supportive environment for individuals looking to improve their communication and leadership skills. Over the years, the club has evolved into a vibrant community filled with success stories of personal development and newfound confidence. A testament to the club's dedication is its achievement of the "Select Distinguished Club" status during the 2023-2024 program year. By fulfilling 7 out of 10 distinguished goals, the club highlighted its commitment to excellence—a success driven by its vibrant members' relentless focus and perseverance. The strategic insight gained from regular Toastmasters committee meetings and the influential "Moments of Truth" sessions held in 2023 and 2024 are key to this success. Our club members have consistently demonstrated strong performance in various speech contests, with notable achievements across multiple levels. In 2023, members excelled in Evaluation and Table Topics contests, reaching the district level while advancing to the Division Level in the International Speech Contest. Continuing their success into 2024, members again qualified for area-level contests, securing third-place positions in the Evaluation and Table Topics categories, highlighting the club's dedication and competitive spirit. The 50th meeting was based on the theme of serendipity. It was not only a milestone celebration but also a vibrant festival of achievements and growth. The day buzzed with energy as activities like a spirited Treasure Hunt injected enthusiasm and camaraderie among attendees. Distinguished guests, including Kripa Venkitachalam and Madhavi Rao, enriched the occasion with inspiring speeches. Madhavi reignited the club's spirit, while Kripa's discourse on the Growth Mindset and the "Power of Yet" encouraged members to pursue continuous self-improvement. The Cadence Bangalore Toastmasters Club is enthusiastic about its promising future and is committed to creating an environment that promotes personal and professional growth. Many members are close to completing their Toastmasters levels and pathways, and this term, a new group of approximately 30 individuals has joined, bringing the total membership to 52. This vibrant community is just beginning its journey and is eager to reach new milestones together through mutual support and a shared commitment to excellence. The transformations experienced by many club members are truly compelling. They often share how the club has significantly improved their communication skills and boosted their confidence. One member recalls, "Before joining, I found public speaking intimidating. Now, I embrace every opportunity to share my ideas." Another member highlights how the club's supportive environment helped him overcome his fear of public speaking, propelling his career to new heights. This culture of constructive feedback and continuous improvement has inspired countless members to pursue their dreams with renewed determination and optimism. The Cadence Bangalore Toastmasters Club's journey is a living testament to the power of community and the potential within each of us to grow and achieve greatness. As the club continues to evolve and inspire, it serves as a beacon for those aspiring to transform their skills and seize their moment in the spotlight. Learn more about life at Cadence.

Each November, we are reminded of the bravery and dedication of those who have served our country. At Cadence, we thank our Veteran employees for their patriotism by reaffirming our commitment to honoring their sacrifices and recognizing their contributions to our business success. Our diverse and inclusive culture is strengthened by the unique perspective of our Veteran employees, and we are proud to support the Veterans Inclusion Group as a space for community members and their allies to connect. In celebration of Veterans Day, we were excited to catch up with Johnathan Edmonds, Veterans Inclusion Group Lead and Design Engineering Director, for a heartfelt chat on his journey through military service to leadership within Cadence. Throughout the conversation, he shared the importance of creating space for Veterans, the skills they offer, and his aspirations for what the Veterans Inclusion Group will achieve in the years ahead. Oh yeah, and he flies planes, too! Join us as we dive into what makes this holiday special for so many across the nation and how we can respectfully commemorate it together. Johnathan, you’re a retired Air Force Reservist, pilot, and now a Design Engineering Director. Can you tell us about your journey from the military to your current role at Cadence? I started my military and electronics journey in the Navy. I enlisted at 18 and served for six years as an aviation electronics technician. During this time, I was able to learn about and repair electronics on planes. This set me up for success, and when I was honorably discharged, I attended Virginia Tech to study computer engineering. Once I graduated, I continued my career as an engineer, but I still wanted to be a military pilot. From my past experience, I knew the reserves were an option where I could learn to fly and still have a civilian career. Not only was I lucky enough to get selected to go to pilot training, but after I returned from flight school, my luck grew, and I was hired at Cadence. Cadence has supported me throughout my military career, which has been a great benefit, as many companies don’t support reservists. The best thing about serving and being employed at Cadence is how I could blend my skill sets to further the Air Force’s mission and achieve great things in engineering. As the first lead of Cadence’s Veterans Inclusion Group, you played an integral part in growing our culture and building community at the company since launching the group four years ago. What inspired you to take on the role of Inclusion Group Lead? I was inspired by three things: camaraderie, service, and outreach. I wanted to see if we could achieve a similar sense of community through the Veterans Inclusion Group as we had during our service life. I also wanted to see how we could better serve our Veterans here at Cadence. I wanted to explore any benefits that could be expanded, roles that could be developed by Vets, and, lastly, I wanted to serve a broader community. COVID-19 put a damper on some of the community support, but we are getting back on track with Veteran employment programs and volunteer efforts like Carry the Load and Gold Star Families. Why is it important to have this space dedicated to Veteran employees? There are many reasons! Networking, for one, creates a stronger, more unified Cadence culture. Two, Vets face a variety of issues not generally understood by those who have not served, such as PTSD, where to get help for disabilities, how to get an old medical record, etc. As I mentioned, I’m also passionate about connecting Veterans with employment and job opportunities. It is so nice to work for a company that actively recruits Vets. We have our own “language,” if you will, so it’s nice to have a space to talk in the language that we are familiar with. What have been some of your favorite moments leading this group over the past few years? Are there any “wins” that you would like to recognize? We have a lot of wins. Events held during COVID-19 and getting past COVID-19, donating to worthwhile causes, and hosting guest speakers are all fantastic milestones and accomplishments. That said, the biggest win is the hiring of new Veteran employees. Mark Murphy, Corporate VP of Sales Operations, and I have both welcomed Vets to our team during this time, and it is such a joy to watch what someone can do when given the opportunity to succeed in the right environment. As you are set to transition out of the lead role next year, what do you hope to see the Veterans Inclusion Group accomplish next? My hope is that the Veterans Inclusion Group partners with other companies, expanding our reach externally and exploring new opportunities to engage Veterans outside of Cadence. Johnathan (left) speaks on an inclusion group panel, along with David Sallard (center), lead of Cadence's Black Inclusion Group and Sr. Principal Application Engineer; Christina Jamerson (on screen), lead of Cadence's Abilities Inclusion Group and Demand Generation Director; and Dianne Rambke (right), lead of Cadence's Latinx Inclusion Group and Marketing Communications Director. What are the important ways that people can signal inclusion and respectfully honor Veterans at work? What are the most meaningful or impactful actions employees everywhere can take to support Veteran coworkers? I think there is one answer to both questions. I recommend that people engage with their companies’ employee resource groups (ERGs) and have conversations with them. Opening up the lines of communication will lead to new paths in their journeys. What are you looking forward to in 2025, both personally and professionally? In 2025, professionally, I am looking forward to taking mixed-signal systems and verification to another level by including emulation, automatic model generation, and seeing which boundaries we can push in our SerDes and Chiplets products. Personally, I am looking forward to making my SXS street legal so I can drive places without getting a ticket, seeing my children participate in sports, church, and school, and taking my wife on vacation to Europe or somewhere else we can unplug. Learn more about Cadence’s Inclusion Groups, diverse culture, and commitment to belonging.

Peripheral Component Interconnect Express (PCIe) is a high-speed interface standard widely used for connecting processors, memory, and peripherals. With the increasing reliance on PCIe to handle sensitive data and critical high-speed data transfer, ensuring data integrity and encryption during verification is the most essential goal. As we know, in the field of verification, randomization is a key technique that drives robust PCIe verification. It introduces unpredictability to simulate real-world conditions and uncover hidden bugs from the design. This blog examines the significance of randomization in PCIe IDE verification, focusing on how it ensures data integrity and encryption reliability, while also highlighting the unique challenges it presents. For more relevant details and understanding on PCIe IDE you can refer to Introducing PCIe's Integrity and Data Encryption Feature . The Importance of Data Integrity and Data Encryption in PCIe Devices Data Integrity : Ensures that the transmitted data arrives unchanged from source to destination. Even minor corruption in data packets can compromise system reliability, making integrity a critical aspect of PCIe verification. Data Encryption : Protects sensitive data from unauthorized access during transmission. Encryption in PCIe follows a standard to secure information while operating at high speeds. Maintaining both data integrity and data encryption at PCIe’s high-speed data transfer rate of 64GT/s in PCIe 6.0 and 128GT/s in PCIe 7.0 is essential for all end point devices. However, validating these mechanisms requires comprehensive testing and verification methodologies, which is where randomization plays a very crucial role. You can refer to Why IDE Security Technology for PCIe and CXL? for more details on this. Randomization in PCIe Verification Randomization refers to the generation of test scenarios with unpredictable inputs and conditions to expose corner cases. In PCIe verification, this technique helps us to ensure that all possible behaviors are tested, including rare or unexpected situations that could cause data corruption or encryption failures that may cause serious hindrances later. So, for PCIe IDE verification, we are considering the randomization that helps us verify behavior more efficiently. Randomization for Data Integrity Verification Here are some approaches of randomized verifications that mimic real-world traffic conditions, uncovering subtle integrity issues that might not surface in normal verification methods. 1. Randomized Packet Injection: This technique randomized data packets and injected into the communication stream between devices. Here we Inject random, malformed, or out-of-sequence packets into the PCIe link and mix valid and invalid IDE-encrypted packets to check the system’s ability to detect and reject unauthorized or invalid packets. Checking if encryption/decryption occurs correctly across packets. On verifying, we check if the system logs proper errors or alerts when encountering invalid packets. It ensures coverage of different data paths and robust protocol check. This technique helps assess the resilience of the IDE feature in PCIe in below terms: (i) Data corruption: Detecting if the system can maintain data integrity. (ii) Encryption failures: Testing the robustness of the encryption under random data injection. (iii) Packet ordering errors: Ensuring reordering does not affect data delivery. 2. Random Errors and Fault Injection: It involves simulating random bit flips, PCRC errors, or protocol violations to help validate the robustness of error detection and correction mechanisms of PCIe. These techniques help assess how well the PCIe IDE implementation: (i) Detects and responds to unexpected errors. (ii) Maintains secure communication under stress. (iii) Follows the PCIe error recovery and reporting mechanisms (AER – Advanced Error Reporting). (iv) Ensures encryption and decryption states stay synchronized across endpoints. 3. Traffic Pattern Randomization: Randomizing the sequence, size, and timing of data packets helps test how the device maintains data integrity under heavy, unpredictable traffic loads. Randomization for Data Encryption Verification Encryption adds complexity to verification, as encrypted data streams are not readable for traditional checks. Randomization becomes essential to test how encryption behaves under different scenarios. Randomization in data encryption verification ensures that vulnerabilities, such as key reuse or predictable patterns, are identified and mitigated. 1. Random Encryption Keys and Payloads: Randomly varying keys and payloads help validate the correctness of encryption without hardcoding assumptions. This ensures that encryption logic behaves correctly across all possible inputs. 2. Randomized Initialization Vectors (IVs): Many encryption protocols require a unique IV for each transaction. Randomized IVs ensure that encryption does not repeat patterns. To understand the IDE Key management flow, we can follow the below diagram that illustrates a detailed example key programming flow using the IDE_KM protocol. Figure 1: IDE_KM Example As Figure 1 shows, the functionality of the IDE_KM protocol involves Start of IDE_KM Session, Device Capability Discovery, Key Request from the Host, Key Programming to PCIe Device, and Key Acknowledgment. First, the Host starts the IDE_KM session by detecting the presence of the PCIe devices; if the device supports the IDE protocol, the system continues with the key programming process. Then a query occurs to discover the device’s encryption capabilities; it ensures whether the device supports dynamic key updates or static keys. Then the host sends a request to the Key Management Entity to obtain a key suitable for the devices. Once the key is obtained, the host programs the key into the IDE Controller on the PCIe endpoint. Both the host and the device now share the same key to encrypt and authenticate traffic. The device acknowledges that it has received and successfully installed the encryption key and the acknowledgment message is sent back to the host. Once both the host and the PCIe endpoint are configured with the key, a secure communication channel is established. From this point, all data transmitted over the PCIe link is encrypted to maintain confidentiality and integrity. IDE_KM plays a crucial role in distributing keys in a secure manner and maintaining encryption and integrity for PCIe transactions. This key programming flow ensures that a secure communication channel is established between the host and the PCIe device. Hence, the Randomized key approach ensures that the encryption does not repeat patterns. 3. Randomization PHE: Partial Header Encryption (PHE) is an additional mechanism added to Integrity and Data Encryption (IDE) in PCIe 6.0. PHE validation using a variety of traffic; incorporating randomization in APIs provided for validating PHE feature can add more robust Encryption to the data. Partial Header Encryption in Integrity and Data Encryption for PCIe has more detailed information on this. Figure 2: High-Level Flow for Partial Header Encryption 4. Randomization on IDE Address Association Register values: IDE Address Association Register 1/2/3 are supposed to be configured considering the memory address range of IDE partner ports. The fields of IDE address registers are split multiple values such as Memory Base Lower, Memory Limit Lower, Memory Base Upper, and Memory Limit Upper. IDE implementation can have multiple register blocks considering addresses with 32 or 64, different registers sizes, 0-255 selective streams, 0-15 address blocks, etc. This Randomization verification can help verify all the corner cases. Please refer to Figure 2. Figure 3: IDE Address Association Register 5. Random Faults During Encryption: Injecting random faults (e.g., dropped packets or timing mismatches) ensures the system can handle disruptions and prevent data leakage. Challenges of IDE Randomization and its Solution Randomization introduces a vast number of scenarios, making it computationally intensive to simulate every possibility. Constrained randomization limits random inputs to valid ranges while still covering edge cases. Again, using coverage-driven verification to ensure critical scenarios are tested without excessive redundancy. Verifying encrypted data with random inputs increases complexity. Encryption masks data, making it hard to verify outputs without compromising security. Here we can implement various IDE checks on the IDE callback to analyze encrypted traffic without decrypting it. Randomization can trigger unexpected failures, which are often difficult to reproduce. By using seed-based randomization, a specific seed generates a repeatable random sequence. This helps in reproducing and analyzing the behavior more precisely. Conclusion Randomization is a powerful technique in PCIe verification, ensuring robust validation of both data integrity and data encryption. It helps us to uncover subtle bugs and edge cases that a non-randomized testing might miss. In Cadence PCIe VIP, we support full-fledged IDE Verification with rigorous randomized verification that ensures data integrity. Robust and reliable encryption mechanisms ensure secure and efficient data communication. However, randomization also brings various challenges, and to overcome them we adopt a combination of constrained randomization, seed-based testing, and coverage-driven verification. As PCIe continues to evolve with higher speeds and focuses on high security demands, our Cadence PCIe VIP ensures it is in line with industry demand and verify high-performance systems that safeguard data in real-world environments with excellence. For more information, you can refer to Verification of Integrity and Data Encryption(IDE) for PCIe Devices and Industry's First Adopted VIP for PCIe 7.0 . More Information: For more info on how Cadence PCIe Verification IP and TripleCheck VIP enables users to confidently verify IDE, see our VIP for PCI Express , VIP for Compute Express Link for and TripleCheck for PCI Express For more information on PCIe in general, and on the various PCI standards, see the PCI-SIG website .

I'm trying to simulate a practice code . Verilog verification of my code do not give any error.But when I try to elaborate, this error is being showed:

ncelab: *E,CUVHNF (./FSM_test.v,17|20): Hierarchical name component lookup failed at 'l'

What does this mean? How can I debug this error ? Is there any archive or list of possible error list so that I don't have to ask in forum to understand the errors. 

Hello~

As the following circuit shows, VCC+5V_USB is the 4^th power source, connecting the output of power management of diode.There are 3 5V input in the input port of LTC4417.

It’s normal when VCC+5V_USB prodive power with other circuit. However, if I cup VCC+5V_FIRST,VCC+5V_SECOND,VCC+5V_THIRD, 5V voltage will occurred in the VCC+5V_FIRST,VCC+5V_SECOND,VCC+5V_THIRD.

The LTC4417 PDF

Is this phenomance normal ?

Please kindly give me some advice ! Thanks.

Hello,

I'm using OrCad 17.2 and in the company I'm wokring at there was a change in the database folder (from driver F to G for example) and it effects the option of synchronise using the Part Manager. and changing manually each part in the Desgin Cahce can be a pain.

Is there any way I can make a TCL script that will run and replace a part cahce with other? Better if I can call from a table to read, and write from other collum.

I would really be happy for an example.

Thanks for the help.

Hey, is it suitable to post here? I wanted a small yet robust amp for practicing while I travel. I wanted something that would fit in my pocket yet still be loud enough to hear.

Presented here is a amplifier based upon the LM386 Audio Amplifier.

There is a standard circuit in the data sheet that is an excellent place to start.

Materials needed:
1 - HM359 project box
1 - 668-1237 speaker
1 - BS6I battery conn
1 - CP1-3515 stereo jack
1 - SC1316 stereo jack
2 - 450-1742 knob
1 - 679-1856 switch
1- 3mm LED
1 - 10 ohm 1/4W resistor
1 - 10uF ceramic cap
1 - .05 uF ceramic cap
1 - 420 uF electrolytic cap
1 - 8 ohm resistor
2 - 51AADB24 10K pot
1 - HM1252 circuit board
1 - LM386N-4 amplifier

Wire and Solder
Step 1: Prep the enclosure

Careful planning is required the first time you free build a circuit. The circuit board has solder pads but not traces. You will have to use thin wire to make the connections for the circuit to work.

Begin by laying out the components on the circuit board that will need to pass through the enclosure. This enclosure has a removable top panel which will be used for the volume, gain and 1/4 inch stereo jack.

Space is limited to check for fit before drilling.

All drilling of the plastic should be done with a step drill bit. This will make the cleanest holes without breaking the plastic.

Lay out the pots a few spaces back but still in line with the desired position. mark the center of each pot shaft then drill with a step drill tot he tightest fitting hole size. Make a center mark between the pot holes then drill for the stereo jack

On the inside of the top cover position and mark where the speaker will go.

Make a template on grid paper the same size as the speaker.

Tape the template to the inside of the cover as shown then use a step bit to drill holes on the center of every square in the grid. This will form the speaker grille. clean up the holes.

Step 2: place the major components

Solder the pots to the circuit board as shown. then place the stereo jack(note in order to get the final fit I had to trim and modify the stereo jack housing a little)

Next, position and solder the switch on the circuit board and mark a space on the top cover that will need to be cut for the switch opening. Use a small file to cut the opening.

Use a sharp knife to bevel the edges of the switch hole to allow for easier operation.

Drill a hole in the side of the upper case for the headphone jack and fasten it in place. ( I had to recess the hole a bit for the retaining nut to grab)

Step 3: Build the circuit

The speaker is held in place by using 2 small brackets that come with the serial cable connector hood. ( I had a bunch around that would never be used)

Refer the the circuit shown from the datasheet and the datasheet for the LM386. The basic circuit only has the volume control while the datasheet shows how to add a gain control across pins 1 and 8 of the amplifier.

The speaker is wired in series with the headphone jack. The headphone jack has internal switches that shut the speaker off when the phones are plugged in.

I chose to use a chip socket for the amplifier which make prototyping easier since you do not have to worry about solder heating as much.

Carefully lay the circuit out on the board and begin wiring components together. I added a second pot and cap in series between pins 1 and 8 of the amp to be able to manually set the gain in addition to volume.

Check you connections with a multimeter before adding the amplifier.

I chose to add a LED indicator for power. This was done by using one side of switch contacts from the battery. The LED is in series with a 220 ohm resistor.

Assemble the case and insert the battery.

Step 4: Final notes

If the speaker is noisy while the headphones work normally, try reversing the speaker connections. If it does not correct the issue, connect a 8 ohm resistor across the speaker contacts.

You may have to place an insulating layer between the speaker and the place where the stereo jack comes through to prevent contact. This will be noted by a loud buzz.

You may have to add some foam in the battery compartment to stop the battery from banging around.

For reference, I've also read an article about amplifiers: http://www.apogeeweb.net/article/60.html

Thanks for reading!
​

Hello Folks,

Problem statement first: How does one properly setup tensorflow for running on a DSVM using a remote Docker environment? Can this be done in aml_config/*.runconfig?

I receive the following message and I would like to be able to utilize the increased speeds of the extended FMA operations.

tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

Background: I utilize a local docker environment managed through Azure ML Workbench for initial testing and code validation so that I'm not running an expensive DSVM constantly. Once I assess that my code is to my liking, I then run it on a remote docker instance on an Azure DSVM.

I want a consistent conda environment across my compute environments, so this works out extremely well. However, I cannot figure out how to control the tensorflow build to optimize for the hardware at hand (i.e. my local docker on macOS vs. remote docker on Ubuntu DSVM)

hi,

     I save the waveform file of the oscilloscope as CSV file format.

     Now, I need to use this waveform file as the source of the low-pass filter .

     I searched and read the PSPICE help documents, and did not find any  methods. 

     How to realize it?

     Are there any reference documents or examples?

     Thanks!

Is there a way to generate coverage reports, not in ucd or any other format. I have written basic covergroup and passed arguments[-covoverwrite -cov_cgsample -cov_debuglog -coverage u] to the xrun command, however I don't see anything in sim directory, nor do I see anything in the logs indicating the covergroups have been hit. How can I confirm that cover groups are getting hit and essentially observe the bins. In Questa sim, you essentially get them as part of the log itself.

Hi,

i am compiling firmware under Windows transfer the binaries and the sources to Linux to simulate/debug there. The problem is that the paths in the DWARF debug info of the .elf file are the absolute Windows paths as set by the compiler so they are useless under Linux. Is it possible to configure mappings of these paths to the Linux paths when simulating/debugging like with e.g. GDB (https://sourceware.org/gdb/current/onlinedocs/gdb/Source-Path.html#index-set-substitute_002dpath)?

thx,

Peter

I am looking for LM117 Pspice model. Can someone send me the file. Thank you

Hi ,

  FIrst of all , I hope I have posted my query in the right place . I am expecting software support/suggestions for the below issue.

   I am working on LTE which use USB interface and the Host Controller is USB 2.0 . The BSP is from NXP which supports Cadence USB 3.0 Host controller and with USB 3.0 supported cadence driver.NXP had used the   USB 3.0 host controller for USB type C based device.

  Cadence USB 3.0 based device driver seems to be backward compatible for USB 2.0 host controller .Since basic LTE functionalities seems to be working fine I continued to use the same driver in Linux 4.14.62 

  But I am facing a kernel warning of unhandled interrupt and the crash log points to cdns_irq function as shown below  The crash/kerenel warning is very random and not occuring all the time.

.691533] irq 36: nobody cared (try booting with the "irqpoll" option)

[ 1.698242] CPU: 0 PID: 87 Comm: kworker/0:1 Not tainted 4.9.88 #24

[ 1.704509] Hardware name: Freescale i.MX8QXP MEK (DT)

[ 1.709659] Workqueue: pm pm_runtime_work

[ 1.713675] Call trace:

[ 1.716123] [<ffff0000080897d0>] dump_backtrace+0x0/0x1b0

[ 1.721523] [<ffff000008089994>] show_stack+0x14/0x20

[ 1.726582] [<ffff0000083daff0>] dump_stack+0x94/0xb4

[ 1.731638] [<ffff00000810f064>] __report_bad_irq+0x34/0xf0

[ 1.737212] [<ffff00000810f4ec>] note_interrupt+0x2e4/0x330

[ 1.742790] [<ffff00000810c594>] handle_irq_event_percpu+0x44/0x58

[ 1.748974] [<ffff00000810c5f0>] handle_irq_event+0x48/0x78

[ 1.754553] [<ffff0000081100a8>] handle_fasteoi_irq+0xc0/0x1b0

[ 1.760390] [<ffff00000810b584>] generic_handle_irq+0x24/0x38

[ 1.766141] [<ffff00000810bbe4>] __handle_domain_irq+0x5c/0xb8

[ 1.771979] [<ffff000008081798>] gic_handle_irq+0x70/0x15c

1.807416] 7a40: 00000000000002ba ffff80002645bf00 00000000fa83b2da 0000000001fe116e

[ 1.815252] 7a60: ffff000088bf7c47 ffffffffffffffff 00000000000003f8 ffff0000085c47b8

[ 1.823088] 7a80: 0000000000000010 ffff800026484600 0000000000000001 ffff8000266e9718

[ 1.830925] 7aa0: ffff00000b8b0008 ffff800026784280 ffff00000b8b000c ffff00000b8d8018

[ 1.838760] 7ac0: 0000000000000001 ffff000008b76000 0000000000000000 ffff800026497b20

[ 1.846596] 7ae0: ffff00000810bd24 ffff800026497b20 ffff000008851d18 0000000000000145

[ 1.854433] 7b00: ffff000008b8d6c0 ffff0000081102d8 ffffffffffffffff ffff00000810dda8

[ 1.862268] [<ffff000008082eec>] el1_irq+0xac/0x120

[ 1.867155] [<ffff000008851d18>] _raw_spin_unlock_irqrestore+0x18/0x48

[ 1.873684] [<ffff00000810bd24>] __irq_put_desc_unlock+0x1c/0x48

[ 1.879695] [<ffff00000810de10>] enable_irq+0x48/0x70

[ 1.884756] [<ffff0000085ba8f8>] cdns3_enter_suspend+0x1f0/0x440

[ 1.890764] [<ffff0000085baca0>] cdns3_runtime_suspend+0x48/0x88

[ 1.896776] [<ffff0000084cf398>] pm_generic_runtime_suspend+0x28/0x40

[ 1.903223] [<ffff0000084dc3e8>] genpd_runtime_suspend+0x88/0x1d8

[ 1.909320] [<ffff0000084d0e08>] __rpm_callback+0x70/0x98

[ 1.914724] [<ffff0000084d0e50>] rpm_callback+0x20/0x88

[ 1.919954] [<ffff0000084d1b2c>] rpm_suspend+0xf4/0x4c8

[ 1.925184] [<ffff0000084d20fc>] rpm_idle+0x124/0x168

[ 1.930240] [<ffff0000084d26c0>] pm_runtime_work+0xa0/0xb8

[ 1.935732] [<ffff0000080dc1dc>] process_one_work+0x1dc/0x380

[ 1.941481] [<ffff0000080dc3c8>] worker_thread+0x48/0x4d0

[ 1.946885] [<ffff0000080e2408>] kthread+0xf8/0x100
[ 1.957080] handlers:

[ 1.959350] [<ffff0000085ba668>] cdns3_irq

[ 1.963449] Disabling IRQ #36

 Kindly provide a solution to solve this issue.

Thanks & Regards,

Anjali

When the Arduino Mega2560 is added to the first serial port, the dynamic memory is 2000 bytes, and when the second serial serial is added, the dynamic memory is 4000 bytes. Now I need to add the third Serial serial port. The dynamic memory is 6000 bytes. Due to the many variables in the program itself, the dynamic memory is not enough. Please help me how to save the dynamic memory?

Cadence_SPB_17.4-2019 + Matlab R2019a

请参考本文档中的步骤进行操作

1，打开BJT_AMP.opj

2，设置Matlab路径

3，打开BJT_AMP_SLPS.slx

4，打开后，设置PSpiceBlock，出现或CEFSimpleUI.exe停止工作

5，添加模块

6，相同

7，打开pspsim.slx

8，相同

9，打开C： Cadence Cadence_SPB_17.4-2019 tools bin

orCEFSimpleUI.exe和orCEFSimple.exe

10，相同

我想问一下如何解决，非常感谢！

Hello,

I'm reading the Design specification for IP6514E.

We will use the DAC mode.

It would seem to be very simple but I don't see any code sequence, i.e.

  1.Write 03(Basic Read) to this register

  2, Write start adress to this register

  3. Write "execute" to this register

  4. Read the data from this register

Thanks,

Stefan

Please give me some ideas. Thank you very much.

While doing the lvs it's showing an error in gnd connection, I am not being able to understand exactly what is the error and what do I need to do to remove this error?

We are having some issues with deploying i. We are looking for the silent command switch for deployment including the licence agreement acceptance.

Ideally we would like a regular MSI that we could install for all users and not in the user content.

Hello,

I am new in formal verification and I have a concept question about how to verify an I2C Slave block.

I think the response should be valid for any serial interface which needs to receive information for several clocks before making an action.

The the protocol description is the following: 

I have a serial clock (SCL), Serial Data Input (SDI) and Serial Data Output (SDO), all are ports of the I2C Slave block.

The protocol looks like this:

The first byte which is received by the slave consists in 7bits of sensor address and the 8th bit is the command 0/1 Write/Read.

After the first 8 bits, the slave sends an ACK (SDO = 1 for 1 clock) if the sensor address is correct.

Lets consider only this case, where I want to verify that the slave responds with an ACK if the sensor address is correct.

The only solution I found so far was to use the internal buffer from the block which saves the received bits during 8 clocks. The signal is called shift_s.

I also needed to use internal chip state (state_s) and an internal counter (shift_count_s).

Instead of doing an direct check of the SDO(sdo_o) depending on SDI (sdi_d_i), I used the internal shift_s register.

My question is if my approach is the correct one or there is a possibility to write the verification at a blackbox level.

Below you have the 2 properties: first checks connection from SDI to internal buffer, the second checks the connection between internal buffer and output.

property prop_i2c_sdi_store;
  @(posedge sclk_n_i)
  $past(i2c_bl.state_s == `STATE_RECEIVE_I2C_ADDR)
    |-> i2c_bl.shift_s == byte'({ $past(i2c_bl.shift_s), $past(sdi_d_i)});
endproperty
APF_I2C_CHECK_SDI_STORE: assert property(prop_i2c_sdi_store);

property prop_i2c_sensor_addr(sens_addr_sel, sens_addr);
@(posedge sclk_n_i) (i2c_bl.state_s == `STATE_RECEIVE_I2C_ADDR) && (i2c_addr_i == sens_addr_sel) && (i2c_bl.shift_count_s == 7)
  ##1 (i2c_bl.shift_s inside {sens_addr, sens_addr+1}) |-> sdo_o;
endproperty
APF_I2C_CHECK_SENSOR_ADDR0: assert property(prop_i2c_sensor_addr(0, `I2C_SENSOR_ADDRESS_A0));
APF_I2C_CHECK_SENSOR_ADDR1: assert property(prop_i2c_sensor_addr(1, `I2C_SENSOR_ADDRESS_A1));
APF_I2C_CHECK_SENSOR_ADDR2: assert property(prop_i2c_sensor_addr(2, `I2C_SENSOR_ADDRESS_A2));
APF_I2C_CHECK_SENSOR_ADDR3: assert property(prop_i2c_sensor_addr(3, `I2C_SENSOR_ADDRESS_A3));

PS: i2c_addr_i is address selection for the slave (there are 4 configurable sensor addresses, but this is not important for the case).

Thank you!

Hello everyone. In recent days, I'm having a weird problem with sound output on my Windows 10 PC. In fact, I can't control the loudness of it. So is there any possibility of PCB of sound card being damaged?

I want to download Xtensa C/C++ Compiler (XCC) . I dont know where to download. Please help me.

Hi 

I have a Xtensa compiler issue that the compilation for switch case would be optimized in some patterns and leads to unexpected result. I cross-checked the assembly code and found that such compiler optimization seems to be similar to the tree-switch-conversion feature in GCC compiler

• https://gcc.gnu.org/onlinedocs/gcc-9.1.0/gcc/Optimize-Options.html
  -ftree-switch-conversion
      Perform conversion of simple initializations in a switch to initializations from a scalar array. This flag is enabled by default at -O2 and highe

Unfortunately I don't find any similar compiler option(like -fno-tree-switch-conversion) in Xtensa compiler(XCC) to enable/disable such feature and such feature seems like enabled in XCC by default even if I'm using -O0 for the least optimization.

I'm wondering if there's any possible solution to permanently disable such feature in XCC?

PS: The release version of XCC compiler I'm using is RD-2012.5

Thanks!

Hi, all.

When I use vavlog to compile verilog rtl, it will recognize IO width mismatch problem as a fatal error.

How to turn the error into warning?

VCS can use -error=noIOPCWM to ingore the error.

Is vavlog has similar arguments?

use the DBO function DboLib_RepalceCache to do the job of "Replace cache" 

in order to easy the job ,  type the code below . the code is a wrapper of the function metioned above

set lStatus [DboState]
set lSession $::DboSession_s_pDboSession
DboSession -this $lSession
set lDesignsIter [$lSession NewDesignsIter $lStatus]
set lDesign [$lDesignsIter NextDesign $lStatus]
set lNullObj NULL

set oldLibName [DboTclHelper_sMakeCString "E:\PROJECT_WORKLIB.OLB"]
set newLibName [DboTclHelper_sMakeCString "E:\MCU_PARTS_LIB.OLB"]

#DboLib_ReplaceCache wrapper
proc ReplaceCacheByName {partName} {
    global oldLibName
    global newLibName
    global lDesign
    set lPartStr [DboTclHelper_sMakeCString $partName]
    #set lNewStr [DboTclHelper_sMakeCString $newName]
    $lDesign ReplaceCache $lPartStr $oldLibName $lPartStr $newLibName 0 1
}

then use the tcl command like below to do the real job :

ReplaceCacheByName "CL10B104KB8NNNC_C12"

When I try to implement the sweep inside my verilog file, I get the following errors.

/// Function

swp2 sweep param=Ndiscmin values=[0.011 0.5055 1] {     //// Line 63
   tran2 tran start=0 stop=1300n errpreset=conservative
}

Hi,

I need to design EPC8002 eGaN switch in cadence. Can someone provide me step by step guide on hoe to add EPC8002 into my cadence. I am working on BCD180.

Thank you 

Ihsan

Hi,

I'm looking to download Tensilica SDK for evaluation, but I can't get past the registration form:

Read on to know about the Operating Point Parameters Summary window that gives you a one-stop view of the categorized and tabulated details on all operating point parameters in your design. This window improves your review cycle with its many benefits.(read more)

Designers have long recognized the need to analyze the reliability of ICs. Two commonly used approaches for performing reliability analysis include calculating the change in device degradation and relying on safe operating checks in circuit simulators. 

With the advent of the ever-increasing use of ICs in mission-critical applications, the need for reliable reliability analysis has become of paramount importance. Over the years, you have been using reliability analysis in Virtuoso ADE Assembler and Virtuoso ADE Explorer to measure and review aging effects, such as device characteristic degradations, model parameter changes, self-heating effects, and so on.

Reliability analysis can be performed using two modes: Spectre native and RelXpert. The reliability analysis analyzes the effect of time on circuit performance drift and predicts the reliability of designs in terms of performance. In ADE Assembler, you can run the reliability simulation for fresh test (when time is zero), stress test (to generate degradation data), and aged test (at specific intervals, such as one year, three years, or 10 years). In the stress test, extreme environmental conditions are used to stress devices before aging analysis.

The following figure shows the reliability simulation flow.

The Reliability Options form has the following four tabs: 

• Basic: Enables you to specify analysis type, aging options, start and stop time of reliability simulation, and options related to device masking, degradation ratio, and lifetime calculation. 

• Modeling: Enables you to choose the modeling type you want to use during reliability simulation. 

• Degradation: Enables you to specify the options to print device and subcircuit degradation information into a .bt0 file. 

• Output: Enables you to specify the degradation reports to be generated and methods to filter degradation results in the reports.

While the Basic and the Output tabs are used by design engineers, the Modeling and the Degradation tabs are primarily used by model developers.

Reviewing degradation reports in text or XML formats can be a tiresome exercise because degradation data can be large and can contain a large number of instances due to advanced technology nodes and post-layout simulations. For you to work effectively and interactively with these reports, the new reliability report is based on the SQLite database, which adds the benefit of improved performance and capabilities of sorting and filtering reliability data using SQLite operators.

As they say, watching this in action might help you more than reading about it, so please take a look at our Training Bytes video channel, which offers many helpful videos on how to run Reliability Analysis in Virtuoso Studio.

All the related videos are linked together in a channel so that you can easily access and watch as many as you like.

Reliability Analysis in Virtuoso Studio

Want to Learn More?

For lab instructions and a downloadable design, enroll for the online training courses of your interest on

Reliability Analysis in Virtuoso Studio vIC23.1 (Online)

 Training is also available as "Blended" or "live" class.

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About Knowledge Booster Training Bytes

Knowledge Booster Training Bytes is an online journal that relays information about Cadence Training videos, online courses, and upcoming webinars that are available in the Learning section of the Cadence Learning and Support portal. This blog category brings you direct links to these videos, courses, and other related material on a regular basis.

Niyati Singh

On behalf of the Cadence Training team

Virtuoso Studio IC23.1 ISR7 production release is now available for download.(read more)

During a mixed-signal simulation, the analog engine usually dominates the simulation time and resources. If you need to run only the analog engine in several windows, or if you would like to to run multiple tests of the same circuit with different stimuli or test pattern, then you need to run the simulation multiple times. View this blog to know more about the the two advanced technologies that Spectre AMS Designer provides to help you improve the efficiency of your mixed-signal designs and to increase the simulation speed.(read more)

This blog describes an efficient way to name the histories saved by the simulation runs in Virtuoso ADE Assembler.(read more)

Read this blog to know how you can easily create and insert connect modules using Spectre AMS Designer with the Verilog-AMS standard language defined by Accellera. (read more)

At a bustling Cadence event, we met Adrian, an intern at a startup who immerses himself in Cadence tools for his research and work.

Adrian was enthusiastic about the innovative technologies at his disposal but faced a significant challenge: internet access was limited to a single machine for new joiners, forcing interns to wait in line for their turn to use online resources.

Adrian's excitement soared when he discovered a game-changing solution: Doc Assistant. The cloud-based help viewer, Doc Assistant, ships with all Cadence tools, enabling Adrian to access help resources offline from any machine equipped with the software. This meant Adrian could continue his research and work seamlessly, irrespective of internet availability!

Meeting Cadence users and customers at such events has given us the opportunity to showcase how they can benefit from the diverse features that Doc Assistant offers.

With that note, welcome back to our Doc Assistant A-Z blog series! In Part 1, we explored key features and benefits that our innovative viewer brings to the table. Today, in Part 2, we'll dive deeper into the advanced functionalities and customization options that make Doc Assistant indispensable for its users.

Whether you're looking to streamline your workflow or enhance your user experience, this blog will provide the insights you need to fully leverage the capabilities of our documentation viewer. Let’s get started!

What Makes Doc Assistant Stand Out?

Here are a few (more) cool features of Doc Assistant!

That's not all. We have more coming your way. Until next time, take care and stay tuned for our next edition!

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For any questions or general feedback, write to docassistant.support@cadence.com.

Subscribe to receive email notifications about our latest Custom IC Design blog posts.

Happy reading!

-Priya Sriram, on behalf of the Doc Assistant Team

Have you ever wanted to write a DRC rule deck to check for space or width constraints on polygons? Or have you wondered how the multiple lines of an LVS rule deck extract and conduct a comparison between the schematic and layout? Maybe you've been curious about the role of rule deck writers in creating high-quality designs ready for tape-out.

If any of these questions interest you, there is good news: the latest version (v23.1) of the Physical Verification Rules Writer (PVLRW) course is designed to teach you rule deck writing. This free 16-hour online course includes audio and labs designed to make your learning experience comfortable and flexible. Whether you are new to the concept or an experienced CAD/PDK engineer, the course is structured to enhance your rule deck writing skills.

The PVLRW course covers six core modules: Layer Processing, DRC Rules, Layout Extraction, ERC and LVS Rules, Schematic Netlisting, and Coloring Rules. There are also three optional appendix sections. Each module explains relevant rules with syntax, concepts, graphics, examples, and case studies.

This course is based on tool versions PEGASUS231 and Virtuoso Studio IC231.

Pegasus Input and Output

Pegasus is a cloud-ready physical verification signoff solution that enables engineers to support faster delivery of advanced-node integrated circuits (ICs) to market.

Pegasus requires input data in the form of layout geometry, schematic netlists, and rules that direct the tool operation. The rules fall into two categories: those that describe the fabrication process and those that control the job-specific operation.

Pegasus provides log and report files, netlists, databases, and error databases as output.

Overview of Pegasus Rule File

The rule decks written in Physical Verification Language (PVL) work for the Cadence PV signoff tools Pegasus and PVS (Physical Verification System).   

The PVL rules are placed in a file that gets selected in a run from the GUI or the command line, as the user directs. PVL rules may be on separate lines within the file and can also be contained in named rule blocks.

Each line of code starts with a PVL rule that uses prefix type notation. It consists of a keyword followed by options, input layer or variable names, and output layer or variable names.

A rule block has the format of the keyword rule, followed by a rule name you wish to give it, followed by an opening curly brace. You enter the rules you wish to perform, followed by a closing curly brace on the last separate line.

  Sample Rule deck with individual lines of code and rule blocks.

DRC Rules

The first step in a typical Pegasus flow is a Design Rule Check (DRC), which verifies that layout geometries conform to the minimum width, spacing, and other fabrication process rules required by an IC foundry. Each foundry specifies its own process-dependent rules that must be met by the layout design.

There are three types of DRC rules: layer definition rules, layer derivation rules, and DRC design check rules. Layer definition rules identify the layers contained in the input layout database, and layer derivation rules derive additional layers from the original input layers, allowing the tool to test the design against specific foundry requirements using the design check rules.

A sample DRC Rule deck

A layout view displaying the DRC violations

LVS Rules

The Pegasus Layout Versus Schematic (LVS) tool compares the layout netlist with the schematic netlist to check for discrepancies.

There are two essential LVS rule sets: LVS extraction rules and comparison rules. LVS extraction rules help extract drawn devices and connectivity information from the input layout geometry data and outputs into a layout netlist. The LVS extraction rule set also includes the layer definition, derivation, extraction, connectivity, and net listing rules.

LVS comparison rules are associated with comparing the extracted layout netlist to a schematic netlist.

A sample LVS Rule deck. 

TCL, Macros, and Conditional commands

Tcl is supported and used in various Pegasus functionalities, such as Pegasus rule files and Pegasus configurator. Macros are functional templates that are defined once and can be used multiple times in a rule file. Conditional Commands are used to process or skip specific commands in the rule file.

Do You Have Access to the Cadence Support Portal?

If not, follow the steps below to create your account.

• On the Cadence Support portal, select Register Now and provide the requested information on the Registration page.
• You will need an email address and host ID to sign up.
• If you need help with registration, contact support@cadence.com.

To stay up to date with the latest news and information about Cadence training and webinars, subscribe to the Cadence Training emails.

If you have questions about courses, schedules, online, public, or live onsite training, reach out to us at Cadence Training.

For any questions, general feedback, or future blog topic suggestions, please leave a comment.

Related Resources

About Knowledge Booster Training Bytes

Knowledge Booster Training Bytes is an online journal that relays information about Cadence Training videos, online courses, and upcoming webinars in the Learning section of the Cadence Learning and Support portal. This blog category brings you direct links to these videos, courses, and other related material on a regular basis. Subscribe to receive email notifications about our latest Custom IC Design blog posts.