Xcelium Simulator has been in the industry for years and is the leading high-performance simulation platform. As designs are getting more and more complex and verification is taking longer than ever, the need of the hour is plug-and-play apps that ar...(read more)

Speed increase requirements keep on flowing by in all the domains surrounding us. The same applies to memory storage too. Earlier mobile devices used eMMC based flash storage, which was a significantly slower technology. With increased SoC processing speed, pairing it with slow eMMC storage was becoming a bottleneck. That is when modern storage technology Universal Flash Storage (UFS) started to gain popularity. 

UFS is a simple and high-performance mass storage device with a serial interface. It is primarily used in mobile systems between host processing and mass storage memory devices. Another important reason for the usage of UFS in mobile systems like smartphones and tablets is minimum power consumption. 

To achieve the highest performance and most power-efficient data transport, JEDEC UFS works in collaboration with industry-leading specifications from the MIPI® Alliance to form its Interconnect Layer. MIPI UniPro is used as a transport layer, and MIPI MPHY is used as a physical layer with the serial DpDn interface. 

UFS 4.0 specification is the latest specification from JEDEC, which leverages UniPro 2.0 and MPHY 5.0 specification standards to achieve the following major improvements:

• Enables up to 4200 Mbps read/write traffic with MPHY 5.0, allowing 23.29 Gbps data rate. 
• High Speed Link Startup, along with Out of Order Data Transfer and BARRIER Command, were introduced to improve system latencies. 
• Data security is enhanced with Advanced RPMB. Advance RPMB also uses the EHS field of the header, which reduces the number of commands required compared to normal RPMB, increasing the bandwidth. 
• Enhanced Device Error History was introduced to ease system integration. 
• File Based Optimization (FBO) was introduced for performance enhancement. 

Along with many major enhancements, UFS 4.0 also maintains backward compatibility with UFS 3.0 and UFS 3.1. 

JEDEC has just announced the UFS 4.0 specification release, quoting Cadence support as a constant contributor in the JEDEC UFS Task Group, actively participating in these specifications development.  

With the availability of the Cadence Verification IP for JEDEC UFS 4.0, MIPI MPHY 5.0 and MIPI UniPro 2.0, early adopters can start working with the provisional specification immediately, ensuring compliance with the standard and achieving the fastest path to IP and SoC verification closure.  

More information on Cadence VIP is available at the Cadence VIP Website. 

Yeshavanth B N 

In a network containing multiple nodes, the need for synchronization between the various nodes is not just instrumental but also a complicated and highly complex process. This process becomes even more tricky if we synchronize the clocks between the Manager and the Peripheral. As we know, in a real-time network, some of the nodes would behave like Managers while some would be a Peripheral. If we must make the communication process smooth, then the local clocks of these nodes must be synchronized. 

The problem with this synchronization is that we have the clock running in the Manager as well. If we send the value of the Manager clock to the Peripheral, the synchronization doesn’t happen as we have a propagation delay of the messages, along with the propagation delay of the electronic circuits of Manager and the Peripheral.  

The cherry on the cake is that these electronic circuit propagation delays are not random and remain constant, so we can add a time offset to it to match the clock. To tackle this challenge, IEEE has come up with a protocol named “Precision Timing Protocol.” 

Operation of PTP: 

To synchronize the clocks, a Sync message is sent by the Manager to the Peripheral, which then timestamps the receiving time of the same. Following this, a ‘Follow up’ message is issued by the Manager stating the timestamp at which the Sync message was sent. 

The Peripheral then finds the difference between the two values and adds this to its current time. After this, the time difference between the Manager and the Peripheral narrows down to only the propagation delay of the messages.  

To overcome this, the Peripheral issues a ‘Delay Request’ to the Manager, and the Manager, in turn, issues a ‘Delay Response.’ Both these messages have the timestamp of when they were issued. The time at which they are received is then noted. Since two messages are sent, one from the Peripheral and the other from the Manager, there are two propagation delays. Then half of this value is our propagation delay. 

The Peripheral then adds this propagation delay to its clock, and hence the clock gets synchronized. 

Advantages of PTP: 

1. It provides accurate time stamping. 
2. It is a well-known clock synchronization protocol. 
3. It provides intensified security inside the premises. 
4. It provides the possibility of setting coordinated actions and synchronized communication. 

There are various versions of PTP that have been developed over time, namely PTPv1, PTPv2, PTPv2_1, and the latest PTP-AS. 

Cadence Verification IP for Ethernet is available to support the newer version of PTP, allowing simulation of the device for efficient IP, SoC, and system-level design verification. Semiconductor companies can start using it to fully verify their controller design and achieve functional verification closure on it within no time. 

Achieving optimal power transfer in RF PCBs hinges on meticulously routed traces that meet specific impedance requirements. Impedance matching is essential to ensure that traces have the same impedance to prevent signal reflection and inefficient pow...(read more)

Explore Impacts of Finite Interconnect Impedance on PDN Characterization

Over the past few decades, many details have been worked out in the power distribution network (PDN) in the frequency and time domains. We have simulation tools that can analyze the physical structure from DC to very high frequencies, including spatial variations of the behavior. We also have frequency- and time-domain test methods to measure the steady-state and transient behavior of the built-up systems.

All of these pieces in our current toolbox have their own assumptions, limitations, and artifacts, and they constantly raise the challenging question that designers need to answer: How to select the design process, simulation, measurement tools, and processes so that we get reasonable answers within a reasonable time frame with a reasonable budget.

Read this award-winning DesignCon 2024 paper titled “Impact of Finite Interconnect Impedance Including Spatial and Domain Comparison of PDN Characterization.” Led by Samtec’s Istvan Novak and written with a team of nine authors from Cadence, Amazon, and Samtec, the paper discusses a series of continually evolving challenges with PDN requirements for cutting-edge designs.

Read the full paper now: “Impact of Finite Interconnect Impedance Including Spatial and Domain Comparison of PDN Characterization.”

Community engagement is a dynamic concept that does not adhere to a singular, universal approach. Its various forms, methods, and objectives can vary significantly depending on the specific context, goals, and desired outcomes. Whether you seek assis...(read more)

When it comes to system integration, PCB designers need to collaborate with the signal analysis or integrity team to run pre-route or post-route analysis and modify constraints, floorplan, or topology based on the results. Allegro PCB Edito...(read more)

The OrCAD X and Allegro X 24.1 release is now available at Cadence Downloads. This blog post provides links to access the release and describes some major changes and new features.   OrCAD X /Allegro X 24.1 (SPB241) Here is a representative li...(read more)

Starting SPB 23.1, Allegro Package Designer Plus (APD+) has been rebranded as Allegro X Advanced Package Designer (Allegro X APD).

The splash screen for Allegro X APD will appear as shown below, instead of showing APD+ 2023:

For the Windows Start menu in 23.1, it will display as Allegro X APD 2023 instead of APD+ 2023, as shown below

23.1 Start menu 

In the Product Choices window for 23.1, you will see Allegro X Advanced Package Designer in the place of Allegro Package Designer +, as shown below: 

23.1 product title

Have you heard that starting SPB 23.1, Allegro Package Designer Plus (APD+) will be renamed as Allegro X Advanced Package Designer (Allegro X APD)? 

Allegro X APD offers multiple new features and enhancements on topics like Via Structures, Wirebond, Etchback, Text Wizards, 3D Canvas, and more. 

This post presents the new 3DX Canvas introduced in SPB 23.1. This can be invoked from Allegro X APD (from the menu item View > 3DX Canvas). 

Some of the key benefits of the new canvas: 

• This canvas addresses the scale and complexity in large modern package designs. It provides highly efficient visual representation and implementation of packages. 
  
• The new architecture enables high-performance 3D incremental updates by utilizing GPU for fast rendering. 
  
  
• Real-time 3D incremental updates are supported, which means that the 3D view is in sync with all changes to the database. 
  
  
• The new canvas provides 3D visualization support for packaging objects such as wire bonds, ball, die bump/pillar geometries, die stacks, etch back, and plating bar. 
  
  
• This release also introduces the interactive measurement tool for a 3D view of packages. Once you open 3DX Canvas, press the Alt key and you can select the objects you want to measure. 
  
• 3DX Canvas provides new 3D DRC Bond Wire Clearances with Real 3D DRC Checks. True 3D DRC in Constraint Manager has been introduced. If you open Constraint Manager, there will be a new worksheet added. Following DRC checks are supported: 

  Wire to Wire 
  Wire to Finger 
  Wire to Shape 
  Wire to Cline 
  Wire to Component

Hello, SKILL experts. 

I'm studying SKILL language to build some useful function in APD+.

Now, I want to execute 'Import Sub-drawing' function in new form.

But I cannot find how to do execute APD+ embedded function in a field of new form. 

Has anyone experienced this or idea to solve this problem? 

The DBDoctor application checks the database for errors and other problems, and presents a report about them. DBDoctor supports .brd, .mcm, .mdd, .psm, .dra, .pad, .sav, and .scf databases.

DBDoctor can:

• Analyze and fix database problems.
• Eliminate duplicate vias.
• Perform batch design rule checking (DRC).
• Upgrade databases more than one revision old.

To verify the integrity of a drawing database at any time during the design cycle, run DBDoctor at regular intervals but make sure you always run it after completing a design.

You can run DBDoctor to verify work in progress, or from a terminal window outside the layout editor, perhaps to check multiple input designs in batch mode by using wildcards and various switches. You do not have to run the layout editor to use DBDoctor.

To run this from Allegro X APD and Allegro PCB Editor, go to Tools > Database Check.

You can also go to the Start menu and select Cadence PCB Utilities 2023 > PCB DB Doctor 2023.

You can also use the following command to run DBDoctor in batch mode in the system command prompt:

dbdoctor [-check_only] [-drc] [-drc_only] [-shapes][-no_backup] [-outfile <newboardname.brd>]>

Comment below if you want to know more about this command and its integration with SKILL programming!!

Display Stream Compression (DSC) is a lossless or near-lossless image compression standard developed by the Video Electronics Standards Association (VESA) for reducing the bandwidth required to transmit high-resolution video and images. DSC compresses video streams in real-time, allowing for higher resolutions, refresh rates, and color depths while minimizing the data load on transmission interfaces such as DisplayPort, HDMI, and embedded display interfaces.

Why Is DSC Needed?

In the ever-evolving landscape of display technology, the pursuit of higher resolutions and better visual quality is relentless. As display capabilities advance, so do the challenges of managing the immense amounts of data required to drive these high-performance screens. This is where DSC steps in. DSC is designed to address the challenges of transmitting ultra-high-definition content without sacrificing quality or performance. As displays grow in resolution and capability, the amount of data they need to transmit increases exponentially. DSC addresses these issues by compressing video streams in real-time, significantly reducing the bandwidth needed while preserving image quality.
 

DSC Use in End-to-end System

DSC Key Features

• Encoding tools:
  • Modified Median-Adaptive Prediction (MMAP)
  • Block Prediction (BP)
  • Midpoint Prediction (MPP)
  • Indexed color history (ICH)
  • Entropy coding using delta size unit-variable length coding (DSU-VLC)

• The DSC bitstream and decoding process are designed to facilitate the decoding of 3 pixels/clock in practical hardware decoder implementations. Hardware encoder implementations are possible at 1 pixel/clock.
• DSC uses an intra-frame, line-based coding algorithm, which results in very low latency for encoding and decoding.

DSC encoding algorithm
 

• Compression can be done to a fractional bpp. The compressed bits per pixel ranges from 6 to 63.9375.
• For validation/compliance certification of DSC compression and decompression engines, cyclic redundancy checks (CRCs) are used to verify the correctness of the bitstream and the reconstructed image.
• DSC supports more color bit depths, including 8, 10, 12, 14, and 16 bpc.
• DSC supports RGB and YCbCr input format, supporting 4:4:4, 4:2:2, and 4:2:0 sampling.
• Maximum decompressor-supported bits/pixel values are as listed in the Maximum Allowed Bit Rate column in the table below

• DP DSC Source device shall program the bit rate within the range of Minimum Allowed Bit Rate column in the table:

Summary

Display Stream Compression (DSC) is a technology used in DisplayPort to enable higher resolutions and refresh rates while maintaining high image quality. It works by compressing the video data transmitted from the source to the display, effectively reducing the bandwidth required. DSC uses a visually lossless algorithm, meaning that the compression is designed to be imperceptible to the human eye, preserving the fidelity of the image. This technology allows for smoother, more detailed visuals at higher resolutions, such as 4K or 8K, without requiring a significant increase in data bandwidth.

More Information

• Cadence has a very mature Verification IP solution. Verification over many different configurations can be used with DisplayPort 2.1 and DisplayPort 1.4 designs, so you can choose the best version for your specific needs.
• The DisplayPort VIP provides a full-stack solution for Sink and Source devices with a comprehensive coverage model, protocol checkers, and an extensive test suite.
• More details are available on the DisplayPort Verification IP product page, Simulation VIP pages.
• If you have any queries, feel free to contact us at talk_to_vip_expert@cadence.com

The Cadence Palladium Emulation Platform is a hardware system that implements the design, accelerating its execution and verification. Itoffers the highest performance and fastest bring-up times for pre-silicon validation of billion-gate designs, using a custom processor built by Cadence.

This Palladium Introduction course is based on the Palladium 23.03 ISR4 version and covers the following modules:

• Introduction
• Palladium flow
• Running a design on the Palladium system

This course starts with an “Introduction” module that explains Palladium and other verification platforms to show its place in the big picture. It also compares Palladium with Protium and simulation and discusses its usage and limitations.

The “Palladium Flow” module includes two stages at a high level, which are Compile and Run. Then, it covers these stages in detail. First, it covers the ICE compile flow and IXCOM compile flow steps in detail. Then it explains Run, which is common for both ICE and IXCOM modes.

The third module, “Running Design on the Palladium System,” covers all the items required for running your design on the Palladium system, including:

• Software stack requirements
• Basic concepts required to understand the flow
• Compute machine requirements

In addition, this course contains labs for both the ICE and IXCOM flows with detailed steps to exercise the features provided by the Palladium system. The lab explains a practical example of multiple counters and exercising their signals for force, monitor, and deposit features, along with frequency calculation using a real-time clock. The course is available on the Cadence support page:

There is also a Digital Badge available. You will find the Badge exam opportunity when you enroll in the Online training or after you have taken the training as "live" training.

For questions and inquiries, or issues with registration, reach out to us at Cadence Training. Want to stay up to date on webinars and courses? Subscribe to Cadence Training emails. To view our complete training offerings, visit the Cadence Training website.

Related Training Bytes

• Palladium: What Are Verification Platforms
• Palladium: What Is Processor Based Emulation
• Palladium: Comparing Emulation (Z2) and Prototyping (X2)
• Palladium: What Are ICE and IXCOM Compile Flow
• Palladium: How to Process a Design to Run on Palladium
• Palladium: XCOM Compile Flow (TB+RTL to Palladium Database)
• Palladium: ICE Compile Flow (RTL to Palladium Database)
• Palladium: Legacy ICE Compile Flow
• Palladium: Cadence Software Releases for Palladium and Protium Flow
• Palladium: Setting of PATHs for Using Palladium
• Palladium: Z2 Hardware Structure (Blade and Boards)
• Palladium: What Is Sourceless and Loadless nets
• Palladium: Design Clocks
• Palladium: Step Count and Step Clock
• Palladium: Steps for Running the Design on Palladium Z2

Related Courses

• Verilog Language and Application Training
• SystemVerilog for Design and Verification
• Xcelium Simulator

Related Blogs

• Training Insights – A New Free Online Course on the Protium System for Beginner and Advanced Users
• It’s the Digital Era; Why Not Showcase Your Brand Through a Digital Badge!
• Training Insights - Free Online Courses on Cadence Learning and Support Portal

Cadence PCIe/CXL VIP support for Partial Header Encryption in Integrity and Data Encryption.(read more)

Verisium Debug, the Cadence unified debug platform, offers a variety of debugging capabilities, including RTL debug, UVM testbench debug, UPF debug, and DMS debug. From IP to SoC level debug, the user can take the benefits of the rich debugging features to reduce the time for debug.

Not only the common and advanced debug features, Verisium Debug also provides Python-based interface API, which enables capabilities allowing users to customize functions with Verisium Debug Python API to access from design, waveform databases and add functions to Verisium Debug’s GUI for visualization purposes. With Verisium Debug’s Python API, users can turn repetitive works into automatic programs or reduce efforts to create in-house utilities with well-established infrastructure from Verisium Debug.

Here is an example of how the user uses Python API to create a customized function. Users can write a Python program to extract signals in a specific design scope and report the values of the extracted signals. From Fig 1., you can understand the procedure of the traversal steps.

1. Import Python library in Verisium Debug package.
2. Setup the database for traversal.
3. Search the scope with the hierarchy information in the design DB.
4. Query the signal list and the values of the signals.
5. Print out the results.

Fig 1. Procedure of Verisium Debug Python Program

The result from the Verisium Debug Python App can be used for post-process design checking or fed into other utilities in the design flow.

The concept is very straightforward. With Verisium Debug and the Python API environment enabled, you can easily query any information that is stored in the databases of Verisium Debug. The result can be outputted in text format, or you can also use the API to display the results back to Verisium Debug’s GUI.

The Verisium Debug Python API is an important capability and resource for Verisium Debug users. To make Verisium Debug Python API easier to access, from Verisium Debug 24.10 release, Verisium Debug introduced the new Verisium Debug Python App Store.

Fig 2. Verisium Debug App Store

The Python App Store includes ready-to-use Python App examples with the availabilities of original source code documents, which help the user to understand how to start writing an app that fits their use case.

Fig 3. Example apps in Verisium Debug App Store

The Verisium Debug Python App Store can also be used by a team as an app management system. App creators can share the developed apps across teams within their companies. The in-house created apps will become easy to manage, and engineers can easily access the apps from the central location, which makes it possible for users to see the updated available Verisium Debug Apps from the Verisium Debug App Store.

Check the following videos for more information about Verisium Debug Python API:

Customize Verisium Debug with Python API

Verisium Debug Customized Apps with Python API

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 .

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 .

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 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)

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.

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?

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

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)

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!

Want to Know More?

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

Welcome back to the Doc Assistant A-Z blog series!

Since the launch of Doc Assistant, we've been gathering feedback and input from our customers regarding their experiences with our latest documentation viewer. My interaction with Ralf was particularly useful and interesting.

Ralf is a design engineer who works on complex schematics and intricate layouts. For each release, he is challenged with the task of verifying the tool and feature changes across multiple releases. He shared with me that he has been using Doc Assistant’s capabilities to help him achieve this.

Ralf explained that he utilizes Doc Assistant to open and compare documents from different releases side-by-side, seamlessly tracking updates across multiple releases and verifying those updates in his Cadence tools. Additionally, in Doc Assistant’s online mode, he compares documents across previous tool versions, ensuring a thorough review of any changes. Finally, he was happy to share with me that Doc Assistant features have helped him significantly reduce the time he spends on identifying such changes.

You, of course, can also achieve such productivity gains using several Doc Assistant features designed to help simplify such tasks!

In previous editions of this blog series, we looked at some key features and benefits of Doc Assistant. If you've missed these editions, I would highly recommend that you read them:

• Doc Assistant A-Z: Making the Most of the Cadence Cloud-Based Help Viewer: Part 1
• Doc Assistant A-Z: Making the Most of the Cadence Cloud-Based Help Viewer: Part 2
  

In this third installment, we're diving into some more of Doc Assistant's key capabilities.

To learn more about how to use the above features, check out the Doc Assistant User Guide.

These are just a few of the productivity gain features in Doc Assistant. We’ll cover more in the next blog in the series.

Want to Know More?

If you have any feedback on Doc Assistant or would like to request more information or a demo, please contact 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

I'd like to be able to edit a footprint for a part in my design without needing to find the footprint filepath and directly open that file in PCB Editor. I see that I can view footprints from Capture, and that doing so shows me the footprint path, but I can't find any way to launch the editor. Is there any way to go directly from a part in a Capture schematic or a placed part in a PCB Editor board design to editing that part's footprint?

Hi All

I am looking for the functions which are different about OrCAD Professional and Allegro tier.

is there any resource?

regard

As the title suggests I am unable to perform design sync between OrCAD Capture and Allegro. When I add a layout and try to sync to it I am given ERROR(ORCAP-2426): Cannot run Design Sync because of errors. See session log for error details.

Session Log

[ORPCBFLOW] : Invoking ECO dialog.
INFO(ORNET-1176): Netlisting the design
INFO(ORNET-1178): Design Name:
C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN
Netlist Directory:
c:usersddoyledocumentscadenceoards emote power devicelayoutallegro
Configuration File:
C:CadenceSPB_17.4 ools/capture/allegro.cfg
pstswp.exe - pst - d "C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN"- n "c:usersddoyledocumentscadenceoards emote power devicelayoutallegro" - c "C:CadenceSPB_17.4 ools/capture/allegro.cfg" - v 3 - l 31 - s "" - j "PCB Footprint" - hpath "HPathForCollision"
Spawning... pstswp.exe - pst - d "C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN"- n "c:usersddoyledocumentscadenceoards emote power devicelayoutallegro" - c "C:CadenceSPB_17.4 ools/capture/allegro.cfg" - v 3 - l 31 - s "" - j "PCB Footprint" - hpath "HPathForCollision"
{ Using PSTWRITER 17.4.0 d001Dec-14-2021 at 09:00:49 }

INFO(ORCAP-36080): Scanning netlist files ...

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstchip.dat

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstchip.dat

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstxprt.dat

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstxnet.dat
packaging the design view...
Exiting... pstswp.exe - pst - d "C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN"- n "c:usersddoyledocumentscadenceoards emote power devicelayoutallegro" - c "C:CadenceSPB_17.4 ools/capture/allegro.cfg" - v 3 - l 31 - s "" - j "PCB Footprint" - hpath "HPathForCollision"
INFO(ORNET-1179): *** Done ***

This issue started to occur after I changed parts that exist on previously created PCBs. I changed the following leading up to this:

1. Added height in Allegro to many of my components using the Setup->Area->Package Height tool.

2. Changed the reference designator category in OrCAD Capture to TP for several components on board.

Any advice here would be most welcome. Thanks!

The default position of the pin number is incorrect.

hello,

We have a number of workstations with version 17.2 that work on a floating license server

We want to know if it can be upgraded to version 17.4

If so, should the floating license server be upgraded as well?

In addition, how can you know where the license was purchased from?

Thanks!

I have a design which says there are 6 unconnected nets. But 'Display All Nets, shows only 4 unconnected. When I try to look at the non-connection, is appears connected and nothing shows??

What is happening?

Hello everyone,

I hope you're all doing well. I’ve set up two testbenches (TB1 and TB2) for my Design Under Test (DUT) using Cadence IC6.1.8-64b.500.21 tools, as shown in the attached figure. The DUT has multiple views available: schematic, Calibre, Maestro, and Symbol, and each testbench uses the same DUT in different scenarios. Currently, I have to manually switch between these views, but I would like to streamline this process.

My goal is to use a single config view that allows me to switch between the schematic and the extracted (Calibre) views. Ideally, I would like to have a configuration file where making changes once would update both testbenches (TB1 and TB2) automatically. In other words, when I modify one config, both testbenches should reflect this update for a single simulation run.

I would really appreciate it if you could guide me on the following:

1. How to create a config view for my DUT that can be used to easily switch between the schematic and extracted views, impacting both TB1 and TB2.
2. Where to specify view priorities or other settings to control which view is used during simulation.
3. Best practices for using a config file in this scenario, so that it ensures consistency across multiple testbenches.

Please refer to the attached figure to get a better understanding of the setup I’m using, where both TB1 and TB2 include the same DUT with multiple available views.

Thank you so much for your time and assistance!

I want to use jaspergold to formally verify functionality of my custom multiplier. I am computing the expected result using A*B to check against output of my multiplier. Here, A and B are two logic signed operands. However, jaspergold is performing the operation A*B incorrectly.

I have reproduced this issue using the attached example. JasperGold compiles and elaborates the module and subsequently runs a formal proof. The tool raises a counterexample to assertion whose screenshot is attached below:

I simulated the same example using xrun and it was giving the correct product output in simvision waveform. Please help me resolve this issue. I am using 2023.03 version of Jasper Apps.

Thanks and regards

Anubhav Agarwal

I would like to send an update about a vmanager regression status x days after the regression has been run. In the current environment, the vmanager regression is creating a new filepath for logs automatically based on regression name/date, so I can't use a cron job to gather logs, as the log location is not known. 

I tried to use the pre session script to launch a detached shell script that would run after a delay, but when the pre_script runs, it waits until everything is completed before finishing and moving on to starting the regression.

Here is the test pre_script I am using:

#!/bin/sh

echo "pre_script start"

delay_script "FIRST" 1
nohup delay_script "SECOND" 30 & disown
delay_script "THIRD" 1

echo "pre_script end"
exit 0

Here is the test delay_script I am using:

#!/bin/sh

echo "Starting $1"

sleep $2

echo "Ending $1"

Here is the script output when run from terminal. After the "pre_script end", I get control back.

Here is the script output when run from vmanager. There is no "nohup", and the pre_session phase doesn't complete until all the delay scripts complete.

My question is, is there a better way to achieve my goal here? (The goal being to run a script from the vmanager log directory automatically x days after the regression). I think I could use the pre_script to send directory information for an auxiliary cron job to pick up, but I would prefer to not have to have extra cronjobs needed for this.

Hi,
I want to parameterized width and length of a NMOS, but it ignore it and I face this error:
*WARNING* Value input must be a number - setting back to previous value.

Does anybody know how I can fix this issue?
Thanks

We are trying to run compilation, elab and sim with command xrun -r -u alu, where alu is one of the units to execute. we are getting the following errors.

1) xmsim: *E,DLMKDF: Unable to add default DEFINE std       /home/xxxx/Cad/xcelium/tools/inca/files/STD.
    xmsim: *E,DLMKDF: Unable to add default DEFINE synopsys  /home/xxxx/Cad/xcelium/tools/inca/files/SYNOPSYS

2) xmsim: *W,DLNOHV: Unable to find an 'hdl.var' file to load in.

What is the purpose of hdl.var

3) xmsim: *F,NOSNAP: Snapshot 'alu' does not exist in the libraries.

I cannot see in log files, which libraries is it referring to??

Any one request you to help on how to debug these.

Hello All,

Following is the einstein's puzzle solved by cadence Incisive92  (solved in less than 3 seconds -> FAST!!!!!!)

Thanks,

Vinay Honnavara

Verification engineer at Keyu Tech

vinayh@keyutech.com

 // Author: Vinay Honnavara

// Einstein formulated this problem : he said that only 2% in the world can solve this problem
// There are 5 different parameters each with 5 different attributes
// The following is the problem

// -> In a street there are five houses, painted five different colors (RED, GREEN, BLUE, YELLOW, WHITE)

// -> In each house lives a person of different nationality (GERMAN, NORWEGIAN, SWEDEN, DANISH, BRITAIN)

// -> These five homeowners each drink a different kind of beverage (TEA, WATER, MILK, COFFEE, BEER),

// -> smoke different brand of cigar (DUNHILL, PRINCE, BLUE MASTER, BLENDS, PALL MALL)

// -> and keep a different pet (BIRD, CATS, DOGS, FISH, HORSES)


///////////////////////////////////////////////////////////////////////////////////////
// *************** Einstein's riddle is: Who owns the fish? ***************************
///////////////////////////////////////////////////////////////////////////////////////

/*
Necessary clues:

1. The British man lives in a red house.
2. The Swedish man keeps dogs as pets.
3. The Danish man drinks tea.
4. The Green house is next to, and on the left of the White house.
5. The owner of the Green house drinks coffee.
6. The person who smokes Pall Mall rears birds.
7. The owner of the Yellow house smokes Dunhill.
8. The man living in the center house drinks milk.
9. The Norwegian lives in the first house.
10. The man who smokes Blends lives next to the one who keeps cats.
11. The man who keeps horses lives next to the man who smokes Dunhill.
12. The man who smokes Blue Master drinks beer.
13. The German smokes Prince.
14. The Norwegian lives next to the blue house.
15. The Blends smoker lives next to the one who drinks water.
*/




typedef enum bit [2:0]  {red, green, blue, yellow, white} house_color_type;
typedef enum bit [2:0]  {german, norwegian, brit, dane, swede} nationality_type;
typedef enum bit [2:0]  {coffee, milk, water, beer, tea} beverage_type;
typedef enum bit [2:0]  {dunhill, prince, blue_master, blends, pall_mall} cigar_type;
typedef enum bit [2:0]  {birds, cats, fish, dogs, horses} pet_type;




class Einstein_problem;

    rand house_color_type house_color[5];
    rand nationality_type nationality[5];
    rand beverage_type beverage[5];
    rand cigar_type cigar[5];
    rand pet_type pet[5];
        rand int arr[5];
    
    constraint einstein_riddle_solver {
    
        
    
        foreach (house_color[i])
            foreach (house_color[j])
               if (i != j)
                house_color[i] != house_color[j];
        foreach (nationality[i])
            foreach (nationality[j])
               if (i != j)
                nationality[i] != nationality[j];
        foreach (beverage[i])
            foreach (beverage[j])
               if (i != j)
                beverage[i] != beverage[j];
        foreach (cigar[i])
            foreach (cigar[j])
               if (i != j)
                cigar[i] != cigar[j];
        foreach (pet[i])
            foreach (pet[j])
               if (i != j)
                pet[i] != pet[j];
    
    
        //1) The British man lives in a red house.
        foreach(nationality[i])
                (nationality[i] == brit) -> (house_color[i] == red);
                
        
        //2) The Swedish man keeps dogs as pets.
        foreach(nationality[i])
                (nationality[i] == swede) -> (pet[i] == dogs);
                
                
        //3) The Danish man drinks tea.        
        foreach(nationality[i])
                (nationality[i] == dane) -> (beverage[i] == tea);
        
        
        //4) The Green house is next to, and on the left of the White house.
        foreach(house_color[i])        
                 if (i<4)
                    (house_color[i] == green) -> (house_color[i+1] == white);
        
        
        //5) The owner of the Green house drinks coffee.
        foreach(house_color[i])
                (house_color[i] == green) -> (beverage[i] == coffee);
                
        
        //6) The person who smokes Pall Mall rears birds.
        foreach(cigar[i])
                (cigar[i] == pall_mall) -> (pet[i] == birds);
        
        
        //7) The owner of the Yellow house smokes Dunhill.
        foreach(house_color[i])
                (house_color[i] == yellow) -> (cigar[i] == dunhill);
        
        
        //8) The man living in the center house drinks milk.
        foreach(house_color[i])
                if (i==2) // i==2 implies the center house (0,1,2,3,4) 2 is the center
                    beverage[i] == milk;
        
        
        
        //9) The Norwegian lives in the first house.
        foreach(nationality[i])        
                if (i==0) // i==0 is the first house
                    nationality[i] == norwegian;
        
        
        
        //10) The man who smokes Blends lives next to the one who keeps cats.
        foreach(cigar[i])        
                if (i==0) // if the man who smokes blends lives in the first house then the person with cats will be in the second
                    (cigar[i] == blends) -> (pet[i+1] == cats);
        
        foreach(cigar[i])        
                if (i>0 && i<4) // if the man is not at the ends he can be on either side
                    (cigar[i] == blends) -> (pet[i-1] == cats) || (pet[i+1] == cats);
        
        foreach(cigar[i])        
                if (i==4) // if the man is at the last
                    (cigar[i] == blends) -> (pet[i-1] == cats);
        
        foreach(cigar[i])        
                if (i==4)
                    (pet[i] == cats) -> (cigar[i-1] == blends);
        
        
        //11) The man who keeps horses lives next to the man who smokes Dunhill.
        foreach(pet[i])
                if (i==0) // similar to the last case
                    (pet[i] == horses) -> (cigar[i+1] == dunhill);
        
        foreach(pet[i])        
                if (i>0 & i<4)
                    (pet[i] == horses) -> (cigar[i-1] == dunhill) || (cigar[i+1] == dunhill);
                    
        foreach(pet[i])        
                if (i==4)
                    (pet[i] == horses) -> (cigar[i-1] == dunhill);
                    


        //12) The man who smokes Blue Master drinks beer.
        foreach(cigar[i])
                (cigar[i] == blue_master) -> (beverage[i] == beer);
        
        
        //13) The German smokes Prince.
        foreach(nationality[i])        
                (nationality[i] == german) -> (cigar[i] == prince);
        

        //14) The Norwegian lives next to the blue house.
        foreach(nationality[i])
                if (i==0)
                    (nationality[i] == norwegian) -> (house_color[i+1] == blue);
        
        foreach(nationality[i])        
                if (i>0 & i<4)
                    (nationality[i] == norwegian) -> (house_color[i-1] == blue) || (house_color[i+1] == blue);
        
        foreach(nationality[i])        
                if (i==4)
                    (nationality[i] == norwegian) -> (house_color[i-1] == blue);
        

        //15) The Blends smoker lives next to the one who drinks water.            
        foreach(cigar[i])            
                if (i==0)
                    (cigar[i] == blends) -> (beverage[i+1] == water);
        
        foreach(cigar[i])        
                if (i>0 & i<4)
                    (cigar[i] == blends) -> (beverage[i-1] == water) || (beverage[i+1] == water);
                    
        foreach(cigar[i])        
                if (i==4)
                    (cigar[i] == blends) -> (beverage[i-1] == water);
        
    } // end of the constraint block
    


    // display all the attributes
    task display ;
        foreach (house_color[i])
            begin
                $display("HOUSE : %s",house_color[i].name());
            end
        foreach (nationality[i])
            begin
                $display("NATIONALITY : %s",nationality[i].name());
            end
        foreach (beverage[i])
            begin
                $display("BEVERAGE : %s",beverage[i].name());
            end
        foreach (cigar[i])
            begin
                $display("CIGAR: %s",cigar[i].name());
            end
        foreach (pet[i])
            begin
                $display("PET : %s",pet[i].name());
            end
        foreach (pet[i])
            if (pet[i] == fish)
                $display("THE ANSWER TO THE RIDDLE : The %s has %s ", nationality[i].name(), pet[i].name());
    
    endtask // end display
    
    
endclass




program main ;

    initial
        begin
            Einstein_problem ep;
            ep = new();
            if(!ep.randomize())
                $display("ERROR");
            ep.display();
        end
endprogram // end of main

        

ncsim will consume an increasing ammount of memory when a function has an output port that return an associative array which was not initialized. My simulator version is 12.10-s011.

Below is a code example to reproduce the failure. The code is inside a class (uvm_object):

function void a_function(output bit ret_val[int]);

// empty 

endfunction : get_cov

Using the EMX solver, X-FAB design engineers can efficiently develop next-generation RF technology for the latest communication standards (including sub-6GHz 5G, mmWave, UWB, etc.), which are enabling technologies for communications and electric vehicle (EV) wireless applications. (read more)