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Training Webinar: Microwave Office: An Integrated Environment for RF and Microwave Design

A recording of a training webinar on Microwave Office is available. Topics show the design environment, with special emphasis placed on electromagnetic (EM) simulation. Normal 0 false false false EN-US JA X-NONE ...(read more)




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Training Insights New Course: Planar EM Simulation in AWR Microwave Office

New online training course for AXIEM EM Simulator in AWR Microwave Office is available.(read more)




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Constraining some nets to route through a specific metal layer, and changing some pin/cell placements and wire directions in Cadence Innovus.

Hello All:

I am looking for help on the following, as I am new to Cadence tools [I have to use Cadence Innovus for Physical Design after Logic Synthesis using Synopsys Design Compiler, using Nangate 45 nm Open Cell Library]: while using Cadence Innovus, I would need to select a few specific nets to be routed through a specific metal layer. How can I do this on Innovus [are there any command(s)]? Also, would writing and sourcing a .tcl script [containing the command(s)] on the Innovus terminal after the Placement Stage of Physical Design be fine for this?

Secondly, is there a way in Innovus to manipulate layout components, such as changing some pin placements, wire directions (say for example, wire direction changed to facing east from west, etc.) or moving specific closely placed cells around (without violating timing constraints of course) using any command(s)/.tcl script? If so, would pin placement changes and constraining some closely placed cells to be moved apart be done after Floorplanning/Powerplanning (that is, prior to Placement) and the wire direction changes be done after Routing? 

While making the necessary changes, could I use the usual Innovus commands to perform Physical Design of the remaining nets/wires/pins/cells, etc., or would anything need modification for the remaining components as well?

I would finally need to dump the entire design containing all of this in a .def file.

I tried looking up but could only find matter on Virtuoso and SKILL scripting, but I'd be using Innovus GUI/terminal with Nangate 45 nm Open Cell Library. I know this is a lot, but I would greatly appreciate your help. Thanks in advance.

Riya




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Detailed waveform dumping for selected waveform

I'm currently trying to explore the verilog simulation option in cadence.

One thing that comes to my mind that if there exists a way in cadence workflow to dump selected register/wire's waveform during the simulation. 

Are there any additional tools needed apart from xcelium, is there a tutorial or specific training course for this aspect. I glance through Xcelium Simulator Course Version 22.09, but it seems not having related context. 

I know in Synopsys's workflow, it can be realized using verdi & fsdb in the command line as follows:

if (inst.CTRL_STATE==STATE_START_TO_DUMP)

$fsdbDumpvars(0, inst_1.reg_0);

end

Thanks in advance!




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how to tell conformal to ignore certain combination of input

hi

How can I tell the LEC tool to ignore a combination of Primary input bus in both Golden and revised.

For example in both Golden and revised there is 

input [3:0] data_in

I want LEC not to check the case that data_in[3:0] == 4'b1000




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Quest for Bugs – The Constrained-Random Predicament

Optimize Regression Suite, Accelerate Coverage Closure, and Increase hit count of rare bins using Xcelium Machine Learning. It is easy to use and has no learning curve for existing Xcelium customers. Xcelium Machine Learning Technology helps you discover hidden bugs when used early in your design verification cycle.(read more)




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Cadence OrCAD X and Allegro X 24.1 is Now Available

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)




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Database Maintenance: DBDoctor

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!!




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Use Verisium SimAI to Accelerate Verification Closure with Big Compute Savings

Verisium SimAI App harnesses the power of machine learning technology with the Cadence Xcelium Logic Simulator - the ultimate breakthrough in accelerating verification closure. It builds models from regressions run in the Xcelium simulator, enabling the generation of new regressions with specific targets. The Verisium SimAI app also features cousin bug hunting, a unique capability that uses information from difficult-to-hit failures to expose cousin bugs. With these advanced machine learning techniques, Verisium SimAI offers the potential for a significant boost in productivity, promising an exciting future for our users.

Figure 1: Regression compression and coverage maximization with Verisium SimAI 

What can I do with Verisium SimAI?

You can exercise different use cases with Verisium SimAI as per your requirements. For some users, the goal might be regression compression and improving coverage regain. Coverage maximization and hitting new bins could be another goal. Other users may be interested in exposing hard-to-hit failures, bug hunting for difficult to find issues. Verisium SimAI allows users to take on any of these challenges to achieve the desired results.

Let's go into some more details of these use cases and scenarios where using SimAI can have a big positive impact.

  1. Using SimAI for Regression Compression and Coverage Regain

Unlock up to 10X compute savings with SimAI!

Verisium SimAI can be used to compress regressions and regain coverage. This flow involves setting up your regression environment for SimAI, running your random regressions with coverage and randomization data followed by training, and finally, synthesizing and running the SimAI-generated compressed regressions. The synthesized regression may prune tests that do not help meet the goal and add more runs for the most relevant tests, as well as add run-specific constraints. This flow can also be used to target specific areas like areas involving a high code churn or high complexity.

You can check out the details of this flow with illustrative examples in the following Rapid Adoption Kits (RAK) available on the Cadence Learning and Support Portal (Cadence customer credentials needed):

 

  1. Using SimAI for Coverage Maximization and Targeting coverage holes

Reduce your Functional Coverage Holes by up to 40% using SimAI!

Verisium SimAI can be used for iterative coverage maximization. This is most effective when regressions are largely saturated, and SimAI will explicitly try to hit uncovered bins, which may be hard-to-hit (but not impossible) coverage holes. This is achieved using iterative learning technology where with each iteration, SimAI does some exploration and determines how well it performed. This technique can also be used for bug hunting by using holes as targets of interest.

See more details on the Cadence Learning and Support Portal:

 

  1. Using SimAI for Bug Hunting

Discover and fix bugs faster using SimAI!

Verisium SimAI has a new bug hunting flow which can be used to target the goal of exposing hard-to-hit failure conditions. This is achieved using an iterative framework and by targeting failures or rare bins. The goal to target failures is best exercised when the overall failure rate is typically low (below 5%). Iterative learning can be used to improve the ability to target specific areas. Use the SimAI bug hunting use case to target rare events, low hit coverage bins, and low hit failure signatures.

See more details on the Cadence Learning and Support Portal:

Unlock compute savings, reduce your functional coverage holes, and discover and fix bugs faster with the power of machine learning technology now enabled by Verisium SimAI!

Please keep visiting  https://support.cadence.com/raks to download new RAKs as they become available.

Please note that you will need the Cadence customer credentials to log on to the Cadence Online  Support  https://support.cadence.com/, your 24/7 partner for getting help in resolving issues related to Cadence software or learning Cadence tools and technologies.

Happy Learning!




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Training Insights – Palladium Emulation Course for Beginner and Advanced Users

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.

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Training Webinar: Protium X2: Using Save/Restart for Debugging

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




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Sigrity and Systems Analysis 2024.1 Release Now Available

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




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Ascent: Training Insights: DE-HDL Libraries in Allegro X System Capture

Allegro X System Capture offers a complete ecosystem for library development. This post introduces the latest DE-HDL Library Development using System Capture course in which you learn how to create different library objects. As a librarian, you often work with numerous libraries. Your tasks include creating or modifying symbols for libraries. To use Allegro X System Capture to create a library, you can follow the steps in the following flowchart: Let’s go through each step in detail. Setting the CDS_SITE Variable Before you start library development for a new project, set the CDS_SITE system environment variable. This step is required to access libraries and other configuration files. Creating a Project in Allegro X System Capture The next step is to create a project in Allegro X System Capture. Adding a Library to the Project Symbol development consists of creating symbol graphics, electrical data, and properties used by different tools in the PCB design flow. To add a library to a project, first create a library in the Libraries pane of the Project e xplorer. Creating Library Symbols The library development process supports the creation of various types of symbols. Creating a Symbol with Multiple Views You can generate multiple views of the same symbol using the Duplicate command. For example, a discrete symbol, such as a resistor, can have multiple views, as shown in the following image: Creating a Split Symbol For advanced designs, you often need to create library symbols and break them into multiple sections to support the design process. When a symbol shows all the logical pins in the physical package, it is called a single-section or flat symbol. Many large ICs have several pins and the symbols need to fit on a single schematic page. One workaround is to use vector pin names on a symbol to reduce its size, although manufacturers prefer schematics that show each pin. You can divide these high-pin count devices into smaller pieces, where each piece is a separate version of the part. Such parts are referred to as split parts or multi-section symbols. For multi-section symbols, you can create two types of split parts—symmetrical and asymmetrical. Symmetrical Split Symbols A symmetrical split symbol has only one symbol graphic, which holds two or more identical logic symbols, each with its own unique physical pin numbers. You can create a symmetrical split symbol using the Duplicate Section icon in the canvas window. Each symbol section contains the same set of pins but different pin numbers, as shown in the following image: Asymmetrical Split Symbols An asymmetrical split symbol is a symbol whose physical package contains one or more unique schematic symbols. You can create an asymmetrical split symbol by clicking the New Section icon in the canvas window. Asymmetrical symbols have a unique set of logical pins, as shown in the following image: Creating Symbols Using the Spreadsheet Interface To simplify the development of large symbols, Allegro X System Capture has a Spreadsheet Interface . You can copy from a spreadsheet into the interface. This saves time and helps minimize errors introduced by manual entry. In conclusion, the DE-HDL library development using Allegro X System Capture course involves several critical steps and supports various symbol creation techniques. This course helps librarians create and modify symbols effortlessly and deepens their understanding of library development within Allegro X System Capture. To learn more about this topic, enroll in the DE-HDL Library Development using Allegro X System Capture course on the Cadence Support portal . Click the training byte link now or visit Cadence Support and search for training bytes under Video Library. If you find the post useful and want to delve deeper into training details, enroll in the following online training course for lab instructions and a downloadable design: DE-HDL Library Development using Allegro X System Capture (Online). You can become Cadence Certified once you complete the course. Cadence Training Services now offers free Digital Badges for all popular online training courses. These badges indicate proficiency in a certain technology or skill and give you a way to validate your expertise to managers and potential employers. You can add the digital badge to your email signature or any social media channels, such as Facebook or LinkedIn, to highlight your expertise. To find out more, see the blog post Take a Cadence Masterclass and Get a Badge . You might also be interested in the training Learning Map that guides you through recommended course flows as well as tool experience and knowledge-level training modules. To find information on how to get an account on the Cadence Learning and Support portal, see here . SUBSCRIBE to the Cadence training newsletter to be updated about upcoming training, webinars, and much more. If you have any questions about courses, schedules, online training, blended/virtual live training, or public, or onsite live training, reach out to us at Cadence Training .




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Training Webinar: Fast Track RTL Debug with the Verisium Debug Python App Store

As a verification engineer, you’re surely looking for ways to automate the debugging process. Have you developed your own scripts to ease specific debugging steps that tools don’t offer? Working with scripts locally and manually is challenging—so is reusing and organizing them. What if there was a way to create your own app with the required functionality and register it with the tool? The answer to that question is “Yes!” The Verisium Debug Python App Store lets you instantly add additional features and capabilities to your Verisium Debug Application using Python Apps that interact with Verisium Debug via the Python API. Join me, Principal Education Application Engineer Bhairava Prasad, for this Training Webinar and discover the Verisium Debug Python App Store. The app store allows you to search for existing apps, learn about them, install or uninstall them, and even customize existing apps. Date and Time Wednesday, November 20, 2024 07:00 PST San Jose / 10:00 EST New York / 15:00 GMT London / 16:00 CET Munich / 17:00 IST Jerusalem / 20:30 IST Bangalore / 23:00 CST Beijing REGISTER To register for this webinar, sign in with your Cadence Support account (email ID and password) to log in to the Learning and Support System*. Then select Enroll to register for the session. Once registered, you’ll receive a confirmation email containing all login details. A quick reminder: If you haven’t received a registration confirmation within one hour of registering, please check your spam folder and ensure your pop-up blockers are off and cookies are enabled. For issues with registration or other inquiries, reach out to eur_training_webinars@cadence.com . Like this topic? Take this opportunity and register for the free online course related to this webinar topic: Verisium Debug Training To view our complete training offerings, visit the Cadence Training website Want to share this and other great Cadence learning opportunities with someone else? Tell them to subscribe . Hungry for Training? Choose the Cadence Training Menu that’s right for you. Related Courses Xcelium Simulator Training Course | Cadence Related Blogs Unveiling the Capabilities of Verisium Manager for Optimized Operations - Verification - Cadence Blogs - Cadence Community Verisium SimAI: SoC Verification with Unprecedented Coverage Maximization - Corporate News - Cadence Blogs - Cadence Community Verisium SimAI: Maximizing Coverage, Minimizing Bugs, Unlocking Peak Throughput - Verification - Cadence Blogs - Cadence Community Related Training Bytes Introducing Verisium Debug (Video) (cadence.com) Introduction to UVM Debug of Verisium Debug (Video) (cadence.com) Verisium Debug Customized Apps with Python API Please see course learning maps a visual representation of courses and course relationships. Regional course catalogs may be viewed here . *If you don’t have a Cadence Support account, go to Cadence User Registration and complete the requested information. Or visit Registration Help .




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Cadence Fem.AI Summit: A Journey of Inspiration

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 .




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Redefining Hearing Aids with Cadence DSPs

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




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We Must Reclaim Nationalism From the BJP

This is the 18th installment of The Rationalist, my column for the Times of India.

The man who gave us our national anthem, Rabindranath Tagore, once wrote that nationalism was “a great menace.” He went on to say, “It is the particular thing which for years has been at the bottom of India’s troubles.”

Not just India’s, but the world’s: In his book The Open Society and its Enemies, published in 1945 as Adolf Hitler was defeated, Karl Popper ripped into nationalism, with all its “appeals to our tribal instincts, to passion and to prejudice, and to our nostalgic desire to be relieved from the strain of individual responsibility which it attempts to replace by a collective or group responsibility.”

Nationalism is resurgent today, stomping across the globe hand-in-hand with populism. In India, too, it is tearing us apart. But must nationalism always be a bad thing? A provocative new book by the Israeli thinker Yael Tamir argues otherwise.

In her book Why Nationalism, Tamir makes the following arguments. One, nation-states are here to stay. Two, the state needs the nation to be viable. Three, people need nationalism for the sense of community and belonging it gives them. Four, therefore, we need to build a better nationalism, which brings people together instead of driving them apart.

The first point needs no elaboration. We are a globalised world, but we are also trapped by geography and circumstance. “Only 3.3 percent of the world’s population,” Tamir points out, “lives outside their country of birth.” Nutopia, the borderless state dreamed up by John Lennon and Yoko Ono, is not happening anytime soon.

If the only thing that citizens of a state have in common is geographical circumstance, it is not enough. If the state is a necessary construct, a nation is its necessary justification. “Political institutions crave to form long-term political bonding,” writes Tamir, “and for that matter they must create a community that is neither momentary nor meaningless.” Nationalism, she says, “endows the state with intimate feelings linking the past, the present, and the future.”

More pertinently, Tamir argues, people need nationalism. I am a humanist with a belief in individual rights, but Tamir says that this is not enough. “The term ‘human’ is a far too thin mode of delineation,” she writes. “Individuals need to rely on ‘thick identities’ to make their lives meaningful.” This involves a shared past, a common culture and distinctive values.

Tamir also points out that there is a “strong correlation between social class and political preferences.” The privileged elites can afford to be globalists, but those less well off are inevitably drawn to other narratives that enrich their lives. “Rather than seeing nationalism as the last refuge of the scoundrel,” writes Tamir, “we should start thinking of nationalism as the last hope of the needy.”

Tamir’s book bases its arguments on the West, but the argument holds in India as well. In a country with so much poverty, is it any wonder that nationalism is on the rise? The cosmopolitan, globe-trotting elites don’t have daily realities to escape, but how are those less fortunate to find meaning in their lives?

I have one question, though. Why is our nationalism so exclusionary when our nation is so inclusive?

In the nationalism that our ruling party promotes, there are some communities who belong here, and others who don’t. (And even among those who ‘belong’, they exploit divisions.) In their us-vs-them vision of the world, some religions are foreign, some values are foreign, even some culinary traditions are foreign – and therefore frowned upon. But the India I know and love is just the opposite of that.

We embrace influences from all over. Our language, our food, our clothes, our music, our cinema have absorbed so many diverse influences that to pretend they come from a single legit source is absurd. (Even the elegant churidar-kurtas our prime minister wears have an Islamic origin.) As an example, take the recent film Gully Boy: its style of music, the clothes its protagonists wear, even the attitudes in the film would have seemed alien to us a few decades ago. And yet, could there be a truer portrait of young India?

This inclusiveness, this joyous khichdi that we are, is what makes our nation a model for the rest of the world. No nation embraces all other nations as ours does. My India celebrates differences, and I do as well. I wear my kurta with jeans, I listen to ghazals, I eat dhansak and kababs, and I dream in the Indian language called English. This is my nationalism.

Those who try to divide us, therefore, are the true anti-nationals. We must reclaim nationalism from them.

The India Uncut Blog © 2010 Amit Varma. All rights reserved.
Follow me on Twitter.





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Knowledge Booster Training Bytes - Writing Physical Verification Language Rules

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

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

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

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

Pegasus Input and Output

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

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

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

Overview of Pegasus Rule File

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

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

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

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

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

DRC Rules

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

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

A sample DRC Rule deck

A layout view displaying the DRC violations

LVS Rules

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

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

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

A sample LVS Rule deck. 

TCL, Macros, and Conditional commands

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

Do You Have Access to the Cadence Support Portal?

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

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

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

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

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

Related Resources

Product Manuals

Cadence Pegasus Developers Guide

Rapid Adoption Kits     Running Pegasus DRC/LVS/FILL in Batch Mode
Training Byte Videos

What Is the Run Command File?

How to Run PVS-Pegasus Jobs in GUI and Batch modes?

PVS DRC Run From - Setup Rules

What Is PVS/Pegasus Layer Viewer?

PVL Coloring Ruledecks with Docolor and Stitchcolor 

PLV Commands: dfm_property with Primary & Secondary Layer

PVS Quantus QRC Overview 

Online Courses

Pegasus Verification System

PVS (Physical Verification System)

Virtuoso Layout Design Basics

About Knowledge Booster Training Bytes

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






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Spectre 24.1 Release Now Available

The SPECTRE 24.1 release is now available for download at Cadence Downloads. For information on supported platforms and other release compatibility information, see the README.txt file in the installation hierarchy.(read more)





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17.4 Design Sync Fails without providing errors

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!




ai

Import LEF file failed due to layermap

Hi,

I have a LEF file with simple definitions of pad design which uses M8, M9, and AP layers. However, I failed to import the design with CIW > Import > LEF... as I encountered "ERROR: (OALEFDEF-90019): Ignoring the line 30 in the layer map file ... as it contains a syntax error. Each entry in the layer map file must have two values, LEFLayerName and OALayerNumber separated by a blank space." All lines in the file report the same OALEFDEF-90019 error.

The tech.layermap file looks like this:


# techLayer       techPurpose     stream# dataType

ref drawing 0 0
DNW drawing 1 0
PW drawing 2 0




ai

Xcelium/Simvision/xrun running very slow (waiting for SimVision/Verisium Debug to connect...)

Hello,


I would like to use the simulation software xrun/simvision that comes with XCELIUM. We are currently using classroom licenses and want to disable all ip addresses on the student pcs except the license server ip. We want to make sure that students cannot copy confidential data from the Cadence tools.


Problem:

When I launch the xrun simulation while all ip addresses are blocked, it starts but the performance is very slow. The GUI starts after 5 minutes and the simulation is ready after 10 minutes. The interesting thing is that when I enable all blocked ip addresses, everything works at a reasonable speed.

Terminal Output (execution without internet connection):

xrun -gui design.vhd

waiting for SimVision/Verisium Debug to connect...


Is there a way to run the simulation tools without an Internet connection? Or can you give me the ip addresses that are used by the simulation tools so that I can enable only those specific ips?


Regards,

Max




ai

explain/correct my understanding between average/covered in imc metrics

I'm working on the code coverage. Doing a metrics analysis by default we see overall average grade and overall covered. But when i do a block analysis on an instance i see overall covered grade, code covered grade, block covered grade, statement covered grade, expression covered grade, toggle covered grade.

As I dont know the difference I started to read the IMC user guide and came to know there are 3 things we come across while doing a code coverage local, covered, average

From my understanding

local - child instances metrics doesnt reach the parent level. For example, we have an instance Q and its sub instances like Q.a, Q.b. Block Local grade of Q can be 100% even when its instances Q.a and Q.b a block local grades isnt at 100%.

In the attached image there is formula 

The key difference between average and covered is the weights.

Average : Mathematically taking the above scenario where Q.a, and Q.b has 10 blocks each. Q.a has covered 8 blocks and q.b has covered 2 blocks. Now if we take the normal average it should be total covered/ totatl number = 8+2/10+10 yielding 50%. But when we add weights saying Q.a is 70% and Q.b is 30% the new number would be (8*0.7+2*0.3) / (10*0.7+10*0.3) resulting 62%. Because of the weights we see 12% bump.

Covered: there is no role of weights.

Among these 3 metrics i've changed my default view to this in the image to get more realistic picture when i do analyze metrics. Do you guys agree with the approach?




ai

Using "add net constraints" command in Conformal

Hi

I have tried using "add net constraints" command to place one-cold constraints on a tristate enable bus. In the command line we need to specify the "net pathname" on which the constraints are to be enforced.

The bus here is 20-bit. How should the net pathname be specified to make this 20-bit bus signals one_hot or one_cold.

The bus was declared as follows:
ten_bus [19:0]

The command I used was

add net constraints one_hot /ren_bus[19]

What would the above command mean?
Should we not specify all the nets' pathnames on the bus?
Is it sufficient to specify the pathname of one net on the bus?
I could not get much info regarding the functionality of this command. I would be obliged if anyone can throw some light.

Thanks
Prasad.


Originally posted in cdnusers.org by anssprasad




ai

Item constraint macro

The following macros encapsulates a design pattern that enables constraining data item fields by 'do' actions of a high level sequence. This can be done without presupposing anything about the sequence tree generated under the do-ing sequence.

The tar file consists of 4 files:
- item_constraint_macro.e - the 'item_constraint' and 'sequence_export' macros definition
- item_constraint_example.e and sequence_export_example.e - use examples (one per each new construct)
- packet_seq.e - an auxiliary definition file for the examples

This topic was discussed in a Club-T presentation (Israel, Sophia-Antipolis, Munich). The presentation is also publicly avaiable.


Originally posted in cdnusers.org by matanvax




ai

How to transfer trained an artificial neural network to Verilog-A

Hi all, I've trained a device model with the approach of an artificial neural network, and it shows well fit. 

May I know how to transfer the trained model to Verilog-A, so that, we can use this model to do circuit simulation?

And I've searched for some lectures that provide the Verilog-A code in the appendix, but I'm freshman in the field of Verilog-A, 

could anyone tell me each statement? such as

real hlayer-w[0:(NI*NNHL)-1   





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Sigrity and Systems Analysis 2022.1 HF2 Release Now Available

The Sigrity and Systems Analysis (SIGRITY/SYSANLS) 2022.1 HF2 release is now available for download at Cadence Downloads. For the list of CCRs fixed in the 2022.1 HF2 release, see the README.txt file in the installation hierarchy.(read more)




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BoardSurfers: Managing Design Constraints Efficiently Using Constraint Sets

A constraint is a user-defined property, or a rule, applied to a physical object, such as a net, pin, or via in a design. There are a number of constraints that can be applied to an object based on its type and behavior. For example, you can define t...(read more)




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BoardSurfers: Training Insights: What’s New in the Allegro PCB Editor Basic Techniques Course

The Allegro PCB Editor Basic Techniques course provides all the essential training required to start working with Allegro® PCB Editor. The course covers all the design tasks, including padstack and symbol creation, logic import, constraints setup...(read more)




ai

EMX - 3D view + 3D view unavailable

Hi! I'm using EMX with 2 design kits. In one works fine. With another, I do not see the mesh or current view. The menu item is not shown. This happens only with one DK. With the other one I'm able to run Paraview without any issue. 

 

Besides, I would like to know if there is any way to see the 3D view without mesh and current. Just a nice 3D view. 

I've also tried to install the latest version (EMX2023_2) but nothing changes. 




ai

Strmount failed in streaming out cell

Hi, I would be grateful if you can help me with this error which I get after trying to run an EMX simulation on a PCELL.

I've found very limited information in this forum. Thanks




ai

Knowledge Booster Training Bytes - What Is a Parameterized Cell and What Are the Advantages

Che(read more)



  • Relative Object Design
  • PCells
  • Virtuoso Video Diary
  • Custom IC Design
  • Virtuoso Layout Suite
  • SKILL

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Virtuoso ICADVM20.1 ISR26 and IC6.1.8 ISR26 Now Available

The ICADVM20.1 ISR26 and IC6.1.8 ISR26 production releases are now available for download.(read more)




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Knowledge Booster Training Bytes - Virtuoso Visualization and Analysis XL

This blog describes how to efficiently use Virtuoso Visualization and Analysis XL.(read more)




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Virtuoso ICADVM20.1 ISR27 and IC6.1.8 ISR27 Now Available

The ICADVM20.1 ISR27 and IC6.1.8 ISR27 production releases are now available for download.(read more)




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Knowledge Booster Training Bytes - Virtuoso Pin-To-Trunk Routing

This blog helps in demonstrating the use of Pin to trunk routing style which helps in enhancing the layout experience.(read more)




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How to set thru via hole to thru via hole spacing constraint?

Is there a way to set a thru via hole to thru via hole spacing constraint?

I need the hole to hole spacing, nit pad to pad spacing.

I can calculate the spacing using the via pad diameter, but this won't work for multiple via pad sizes.




ai

AllegroX. ConstraintManager: how to define an exemption inside a SPACING RULE ?

Hi

I have fixed a SPACING RULE (SP1) for a CLASS_DIFF_PAIR whereas for via associated to the net (DP_VIA), the DISTANCE > 60mils respect to ANY other vias (PTH, BB, TEST vias)

Now my problem is that this rules should NOT be applied for GND VIAS (STICHING VIA) which must be placed at a distance < 40mils respect to DP_VIA

How to create an exemption to the SPACING RULE (SP1)?




ai

Voltus Voice: Breaking Ground with Voltus InsightAI—Swift Implementation via RAK

The blog discusses Voltus InsightAI RAK that is designed to give you an accelerated start on the execution of Voltus InsightAI flow.(read more)




ai

Training Bytes: Explore Cadence DFT Synthesis Flow with Bytes

Training Bytes are not just short technical videos; they are particularly designed to provide comprehensive support in understanding and learning various concepts and methodologies.

These comprehensive yet small Training Bytes can be created to show various concepts and processes in a shorter pane of five to ten minutes, for example, running DFT synthesis, scanning insertion, inserting advanced testability features, test point insertion, debugging DFT violations, etc.

In this blog, we will show you the DFT Synthesis Flow with Cadence's Genus Synthesis Solution using small Training Bytes available on the Cadence Learning and Support Portal. To explore these training bytes more, log on to support.cadence.com and select the learning section to choose the training videos, as shown below.

DFT Synthesis Flow with Genus Synthesis Solution

First, we will understand the Synthesis Flow with DFT in the Genus Synthesis Solution:

Understanding a Script File that Used to Run the Synthesis Flow With DFT

Here, we will show you "How to run the Test Synthesis Flow to Insert Scan Chains and Improve the Testability of a Design" in the Genus Synthesis Solution:

Running Test Synthesis Flow to Insert Scan Chains And Improve the Testability of a Design in the Genus Synthesis Solution

Let's check the flops marked with the dft_mapped attribute for scan mapping in Genus Synthesis Solution:

How to Check Flops Marked With dft_mapped Attribute For Scan Mapping in Genus Synthesis Solution?

How to Find Non-Scan Flops of a Design in Genus? (Video)

Once the flops are mapped to scan flip flops and the scan chain inserted, we will see how to handle the flops marked with the dft_dont_scan attribute for scan mapping in Genus Synthesis Solution.

How to Handle the Flops Marked With the dft_dont_scan Attribute For Scan Mapping in Genus Synthesis Solution?

Here, we will see how to fix DFT Violations using the command fix_dft_violations:

Fixing DFT Violations (Video)

Once the design has been synthesized, let's explore the DFT design hierarchy in Genus Stylus CUI:

Exploring DFT Design Hierarchy in Genus Stylus CUI (Video)

Understand why sequential elements are not mapped to a scan flop:

Why Are Sequential Elements Not Mapped to a Scan Flop?

Explore hierarchical scan synthesis in Genus Stylus Common UI:

Understanding Hierarchical Scan Synthesis in Genus Stylus Common UI. (Video)

To understand how to resolve different warnings and errors (for example, DFT-415, DFT-512, DFT-304, etc.) in Genus Synthesis Solution, here are some videos you can refer to:

How to Resolve Warning: DFT-415 (Video)

How to Resolve Error: DFT-407 (Video)

How to Resolve Error: DFT-404 (Video)

DFT-510 Warning During Mapping (Video)

How to Resolve Warning: DFT-512 (Video)

How to Resolve Warning: DFT-511 (Video)

How to Resolve Warning: DFT-304 (Video)

How to Resolve Warning: DFT-302 (Video)

How to Resolve Error: DFT-515 (Video)

How to Resolve Error: DFT-500 (Video)

Here, we will see how we can generate SDC constraints for DFT constructs for many scan insertion techniques, such as FULLSCAN, OPCG, Boundary Scan, PMBIST, XOR Compression, SmartScan Compression, LBIST, and IEEE 1500:

How to Generate SDC Constraints for DFT Constructs in Genus Synthesis Solution? (Video)

Explore advanced testability features that can be inserted in Genus Synthesis Solution, such as Boundary Scan, Programmable Memory built-in Self-Test Logic (PMBIST), Compression Logic, Masking, and On-Product Clock Generation Logic (OPCG):

Advanced Testability Features (Video)

To understand What the IEEE 1500 Wrapper and its Insertion Flow in Genus Synthesis Solution, follow the bytes:

What Is IEEE 1500 Wrapper? (Video)

IEEE 1500 Wrapper Insertion Flow in Genus Synthesis Solution (Video)

Understand the On-product Clock Generation (OPCG) insertion flow in Genus Synthesis Solution Stylus CUI with this byte:

Understanding On Product Clock Generator (OPCG) Insertion in Genus Stylus CUI (Video)

To debug DFT violations, you can use DFT Analyzer from Genus GUI and explore its features here:

Debugging Using GUI: DFT Analyzer (Video)

Exploring DFT Analyzer View of Genus Synthesis Solution GUI (Video)

To understand What is Shadow Logic, How to Insert Test Points, How to do Testability Analysis Using LBIST, and How to Deterministic Fault Analysis in Genus, follow this article:

What is Shadow Logic

To insert the Boundary Scan Logic in and control Boundary Optimization in Genus Synthesis Solution, refer to these small bytes:

How to Insert Boundary Scan Logic in Genus? Video)

Controlling Boundary Optimization in Genus Synthesis Solution Stylus CUI (Video)

Compression techniques are used during scan insertion to reduce the test data volume and test application time (TAT) while retaining the test coverage. To understand what compression and the compression techniques are, watch this article:

What is Compression Technique During Scan Insertion? (Video)

Interested to know what "Unified Compression" is? To get the concept, you can watch this small demo:

What Is Unified Compression? (Video)

To Explore More, Register for Online Training




ai

The Best Way to Learn – Cadence Cerebrus AI-Driven Design Implementation

The Cadence Cerebrus Intelligent Chip Explorer is a revolutionary, machine learning-driven, automated approach to chip design flow optimization. Block engineers specify the design goals, and Cadence Cerebrus will intelligently optimize the Cadence digital full flow to meet the power, performance, and area (PPA) goals in a completely automated way. Use Cerebrus Apps to optimize some aspects of the design as well.

Running a full RTL to GDSII flow, Cadence Cerebrus has a lot of possibilities and combinations of different tool settings to explore.

Using the knowledge from previous runs, combined with on-the-fly analysis within the flow, Cadence Cerebrus can assess many settings combinations and fine-tune the flow accordingly in a very efficient manner.

As technology advances, projects become bigger and way more complex than before. The ability of a single engineer to run simultaneously a large number of blocks in a traditional way is limited. Cadence Cerebrus allows a single engineer to work more efficiently and implement more blocks, while maintaining the same or even better PPA, using compute power.

Being such a revolutionary tool, integrating Cerebrus into your existing flow is surprisingly simple as it can wrap around any existing flow scripts.

Please join me in this course, to learn about the features and basics of Cadence Cerebrus Intelligent Chip Explorer.

We’ll walk through the tool setting stage, explain what is a primitive and how it effects our run, talk about the cost function and the run goals.

We’ll understand the concept of scenarios, learn how to analyze the results of the different runs, and compare them.

In addition, we’ll talk about basic debug rules and methods to analyze failures.

Sounds Interesting?

Please join our “live” one-day Cadence Cerebrus Intelligent Chip Explorer Training @Cadence Feldkirchen planned for October 9th, 2024!

For more details and registration, please contact Training Germany.

If you would like to have an instructor-led training session in another region please contact your local training department.

Become Cadence Certified

Cadence Training Services offers a digital badge for this training course. This badge indicates proficiency in a certain technology or skill and gives you a way to validate your expertise to managers and potential employers. You can highlight your expertise by adding this digital badge to your email signature or any social media platform, such as Facebook or LinkedIn.

Related Training

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Cerebrus - Verifying Distribution Script (Video)

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Cerebrus Web Interface Monitor and Control (Video) 

How to Setup Cerebrus for a Successful Run (Video) 

Flow Wrapping: The Cadence Cerebrus Intelligent Chip Explorer Must Have (Webinar) (Video) 

Cerebrus Cost Functions (Video) 

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