[SAPS] SAPS members' continued efforts to prevent and detect crime yielded the following successes within the Joe Gqabi District as part of Operation Shanela during the week and start of the weekend .

We live in a rapidly growing “digitalized world,” with an ever-increasing need for video/music streaming, gaming, AI/machine learning, etc. All of these propel demand on modern SoC design to quickly evolve the SoC by fitting more sophisti...(read more)

Cadence tapes out 32G UCIe interface IP for high speed, highly efficient chiplet designs and demonstrate high data rate performance in TSMC's 3nm technology(read more)

I have a standard cell library containing LEF, GDS, and spice models but no OA views. I'm unable to import these files into Virtuoso without a LayerMap file. How can I obtain or generate this required LayerMap file?

Hi everyone. 

I'm very a new cadence user. I'm not good at using it and quite lost in finding a way to get the results. With the topic, I would like to ask you for some suggestions to improve my cadence skills.

I have some digital decision logic. Some are combinational logic, some are sequential logic that I would like to import or generate random input combination to the inputs of my decision logic to get the maximum, minimum, and average delay power dissipation and area when feeding the different input combination.

My logic has 8-bit, 16-bit, and 32-bit input. The imported data tends to be decimal numbers.

I would like to ask you:

- which tool(s) are the most appropriate to import and feed the different combination to my decision logic?

- which tool is the most appropriate to synthesis with different number of input? - I have used Genus Synthesis Solution so far. However with my skill right now I can only let Genus synthesize my Verilog code one setup at a time. I'm not sure if I there is anyway I can feed a lot of input at a time and get those results (min, max, average of delay, power dissipation and area)

- which language or scripts I should pick up to use and achieve these results?

-where can I find information to solve my problem? which information shall I look for?

Thank you so much for your time!!

Best Regards

Dear all, 

I'm trying to perform an LVS check using Calibre between a layout that was generated by Innovus and the initial netlist generated by Genus. However, once I hit Run LVS on Calibre, it reports the following warnings and recommends to stop the process:

Source netlist references but does not define more than 10 subckts:
DFD1BWP7T
DFKCND1BWP7T
DFKCNQD1BWP7T
DFKSND1BWP7T
DFQD1BWP7T
IND2D0BWP7T
INR2D0BWP7T
INVD0BWP7T
INVD2P5BWP7T
IOA21D0BWP7T
... (and more)

If I proceed the LVS process it shows lots of errors as shown in the following image:

Why Genus doesn't include the definition of those sub circuits in the generated netlist? Is this related to Flat/Hierarchy netlisting? 

I have included my Genus scripts as well as the generated netlist in the attachments (and here - if attachment don't work).

Many thanks,

Anas

Hi everyone, 

Is there any method to generate "Sheet" column for a pin report like table below? The column "Name.Pin" & "Signal" can be generated easily, but I have no idea to generate the column of "Sheet Name".

The software using here are Allegro Design Entry HDL, OrCAD Capture and Allegro PCB Editor. Can these 3 software generate "Sheet Name" data?

Thank you. 

Hi,

I find there is a similar question 10 years ago and the answer is out of date, so I come to ask again.

I have compiled 2 different blocks in 2 different paths, using basic xrun -f xxxx.f, generated 2 xcelium.d folder.

Then I have to compile another block based on these 2, how can I link these 2 generated libraries while compiling the 3rd one?

Thanks

One of the key goals for USB4 is to retain compatibility with the existing ecosystem of USB3.2, USB 2.0 and Thunderbolt  products, and the resulting connection scales to the best mutual capability of the devices being connected. USB4 is designed to work with older versions of USB and Thunderbolt . USB4 Fabric support high throughput interconnects of 10 Gbps (for Gen 2) and 20 Gbps (for Gen 3) and supports Thunderbolt 3-compatible rates of 10.3125 Gbps (for Gen 2) and 20.625 Gbps (for Gen 3). It becomes very important to verify the Thunderbolt  backward compatibility with the designs. Though the support of USB4 Interoperability with Thunderbolt  3 (TBT3) is optional in USB4 host or USB4 peripheral device and required USB4 Hub and USB4 Based Dock but it is very essential to work in the existing ecosystem. 

Few Main features of USB4 Interoperability with Thunderbolt  3 (TBT3) Systems

• Support for Bi-Directional Pins & Retimers: TBT3 Active Cables can contain two bidirectional Re-timers which have the capability to send AT Responses on its RX channel. Router connected directly to such Retimer needs to support A Router that is connected directly to a bidirectional Re-timer shall support reception of Transactions on both TX and RX channels. 

• Bounce Mechanism: This feature is used by Router to access the Register Space of a Cable Re-timer that can only be accessed by its Link Partner.
• Asymmetric Negotiation: The Router which connects with Cable Retimers needs to follow Asymmetric TxFFE in Phase 5 of Lane Initialization. 
• USB4 Link Transitions: In TBT3 mode, the configuration of two independent Single Lane Links can be used non-transient state or Single Lane Link just using the Lane1 Adapter.

Cadence has a mature USB4 Verification IP solution that can help in the verification of USB4 designs with TBT3. Cadence has taken an active part in the Cairo group that defined the USB4 specification and has created a comprehensive Verification IP that is being used by multiple members. If you plan to have a USB4-compatible design, you can reduce the risk of adopting new technology by using our proven and mature USB4 Verification IP. Please contact your Cadence local account team, for more details.

Live Doc is an advanced automated PCB documentation generation tool integrated with OrCAD X Presto designed to streamline the creation of PCB documentation. By automating the generation of PCB fabrication and assembly drawings, Live Doc significantly...(read more)

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):

• Using SimAI with vManager (For Regression Compression and Coverage Regain) (RAK) 
• Using SimAI with a Generic Runner (For Regression Compression and Coverage Regain) (RAK)

2. 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:

• Using SimAI for Coverage Maximization - vManager flow (RAK) 
• Using SimAI for Coverage Maximization - Generic Runner Flow (RAK)

3. 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:

• Using SimAI for Bug Hunting with vManager (RAK) 
• Using SimAI for Bug Hunting – Generic runner flow (RAK) 

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!

In SoC development, the verification cycle is a crucial phase that ensures products meet their specifications and function correctly. However, the complexity of modern SoC projects, with their constant data flow, multiple validation teams working in parallel, and tight schedules, presents significant challenges. This article explores these challenges and introduces Verisium Manager as a solution that embodies the 'One Tool Fits All' concept. This means that Verisium Manager is designed to handle all aspects of the verification process for SoC development, from planning to coverage analysis to regression testing, thereby addressing the complex needs of SoC verification.

The Hurdles in Traditional Validation Cycles

 A typical validation process involves planning, coverage analysis, and regression testing. This complexity is compounded by using separate tools for each activity, leading to multiple control environments, APIs, and databases, not to mention the array of tool owners. Such fragmentation results in constant data transfer and translation between systems, from the planning tool to the coverage analysis tool and then to the regression testing tool. This continuous movement of data causes delays, system instability, poor user experiences, and, ultimately, a dip in the quality of the validation process.

The use of multiple platforms leads to inefficiency and reduced productivity. What's needed is a unified system that can streamline the workflow, simplify the verification process, and enhance its effectiveness.

Envisioning the Ideal Solution: Verisium Manager

 The cornerstone of an efficient validation cycle is integration and simplicity. The ideal solution is a singular platform that consolidates planning, coverage analysis, and regression management into one smooth, unified process. Verisium Manager emerges as this much-needed solution, encompassing all the functionalities necessary to streamline the validation process. Its comprehensive nature instills confidence in its ability to handle all aspects of the verification cycle. It can be fully customized to address and enforce any validation methodology and can facilitate smooth integration into any customer environment.

Features that stand out in Verisium Manager include: 

• Unified Workflow: It acts as a single cockpit from which all activities are orchestrated, ensuring the validation teams' work is uninterrupted and seamlessly integrated.
• Customization and Integration: Verisium Manager supports customizing test-plan structures and mapping results per project, ensuring a perfect fit for various project requirements. Its ability to smoothly integrate into the project's environment and compute platforms is unparalleled.
• Support for Continuous Updates and Migration: The tool accommodates constant updates to project data and supports the migration of legacy data, ensuring that no historical data is lost in the transition to a new system.

Addressing Project-Specific Needs

 Verisium Manager recognizes diversity in different projects and offers project-specific solutions, including:

 Enforcing Project Test-Plan Structures and Attributes: It supports and enforces each project's unique test-plan structure and mapping guidelines.

• Unified Data Views and Measurements: Verisium Manager promotes a unified view of data across all teams and enforces unified measurements, ensuring consistency and clarity in the validation process.
• Enabling Project-Specific Actions and Integrations: The tool is designed to support project-specific actions directly from its graphical user interface and allows for smooth integration with in-house databases, dashboards, and the project execution stack.

Verisium Manager is the epitome of efficiency in software/hardware validation. Its differentiating features, such as support for customization, unified data view, and comprehensive coverage and regression requirements, make it an indispensable tool for any validation team looking to elevate their workflow.

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 .

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.

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

Hello Fellow PCB Designers,

We have a 10 layer PCB design that originated in Pads and was converted over to Allegro 17.4, this is an old design but is manufacturable and works perfectly fine.  When I try to generate a Gerber for the Top or Bottom layers

the Gerber comes out fine.  But Most of the middle layers are Etch's and via's for power and grounds, but the Gerber's come mostly blank, there might be some details, but in the Gerber view everything is displayed correctly.

The design does have many close spacings, I have not changed anything in the constrains manager yet, turned off a lot of the DRC's, but thinking there might be something wrong with the constrains.

  I find that the CSet is set to 2_18, not sure yet what this means, also there are many of these definitions, PCS 3,4,5,ect, are the same as CSet 2_18 any suggestions would be great, we are currently looking into this, have seen

that even small change in constraint manager can cause long processing and even Allegro crashing, this is a large project.

Thanks Much, Thanks, Mike Pollock.

Hello,
I'm trying to characterize a full adder that use transmission gate.
Unfortunately, the power calculation are wrong for the cell are always negative.
Is there any method or commands that can can help in power calculation or add the power consumption by the input pins to the power calculation ?
Another question, Is liberate support the characterization or transmission gate cells as standard cells or I should use liberate AMS for these type of cells ?
Thanks in advance,
Tareq 

Hello everyone, 
I have a testbench for generating s2p files from a SP simulation that was working until few months ago. Today I have reopened (w/o making changes that I am aware of) and I get the error as shown below:

first I show the testbench settings:

notice how the s2p generation is disabled: the field "file" is left blank

in the corner I defined some parameters, "filename" is the word that is suppose to generate the name for the s2p. 

where the two variables are defined as follows

And now the output log:

spectre.out file gives the following error:


When clicking on the error message at "9", the input.scs file opens up and the line 9 gets highlighted in green



now, so far I understood that the problem seem to be related tom the "pathcds" variable, but I really don't understand what the error message here means, since I don't see any error in the input.scs file

by the way - if for instance I define the variable "filename" as shown below, then I get no errors:

thanks
Tommaso

Hello,

I am aware of command script .svcf file that saves signals and loads them in while opening Simvision.

I am wondering, if there is a way for saving signals while we are in an interactive session and loading them next time when we open Simvision interactively.

Any ideas on how to do this?

Thank you in advance.

Swetha. C

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?

I'm currently work in coverage analysis. In my design certain register bits remain unused, which could potentially lower toggle coverage. Specifically, I'd like to know how to disable coverage for specific unused register bits within a 32-bit register. For instance, I want to deactivate coverage for bit 17 and bit 20 in a 32-bit register to optimize toggle coverage. Could you please provide guidance on how to accomplish this?

Hello,

I have a question about toggle coverage.

In my case, there are many unused registers or wires that are affecting the toggle coverage score negatively.

Is it possible to automatically exclude registers or wires that are not used from toggle coverage?

My RTL code is as follows, Is it possible to automatically disable tb.top1.b and tb.top1.c without using an exclude file?

module top1;

  reg a;

  reg b;

  reg [31:0] c;

  initial

  begin

  #1 a=1'b0;

  #1 a=1'b1;

  #1 a=1'b0;

  end

endmodule

module tb;

  top1 top1();

endmodule

Hi, I'm using the xcelium simulator to simulate a testbench, in which I first stimulate my design to do something (part "A") and then do a direct follow-up test on the design (part "B").

I need two things from this testbench: the results of the test (part "B", passed/failed) and coverage information, but the coverage information should only include part A and explicitly not part B.

I could do the following: run the testbench with part A and B, get the "passed/failed" result of the test and then follow up another simulator run with another testbench, that only includes part A and get the coverage information from that simulation run.

Is there a way to force xcelium to give me the coverage information of only a part of the simulation? Ideally, I would like to write the verilog code of my testbench to look something like this:

• do A
• dump coverage information
• do B

But maybe there is another way to tell xcelium to consider only part of the testbench for the coverage information. I did have a look at the manual, but was not able to find something useful for this problem. Any ideas?

Hi, 

I am running a regression in order to collect the coverage. However I have an issue. I am setting a signal to 0 when reset is de-asserted  then this signal takes a fixed value when the reset is asserted. 

if(!rst_n) 
init_val= 'b0;

else 

init_val= 31'h34013FF7

the issue is that I got 0%  coverage for the init_value since we only have a rising edge and the signal is not toggling during the simulation. is there an option to collect coverage when there is a rising edge or a falling edge? 

I have been using the rank feature to identify tests that are redundant in our environment, but then I realized I'd also like to be able to see exactly what coverage goes into increasing the delta_cov value for a given test. If I had a test in my rank report that contributed 0.5% of the delta_cov, how could I got about seeing exactly where that 0.5% was coming from? It seems like that might be part of the correlate function, but I couldn't mange to find a way to see what specific coverage was being contributed for a given test.

I've heard lots of people asking for a way to generate Makefiles for Specman code, and it seems there are some who don't use "irun" which takes care of this automatically. So I wrote this little utility to build a basic Makefile based on the compiled and loaded e code.

It's really easy to use: at any time load the snmakedeps.e into Specman, and use "write makefile <name> [-ignore_test]".
This will dump a Makefile with a set of variables corresponding to the loaded packages, and targets to build any compiled modules.
Using -ignore_test will avoid having the test file in the Makefile, in case you switch tests often (who doesn't?).

It also writes a stub target so you can do "make stub_ncvlog" or "make stub vhdl" etc.

The targets are pretty basic, I thought it was more useful to #include this into the main Makefile and define your own more complex targets / dependencies as required.

The package uses the "reflection" facility of the e language, which is now documented since Specman 8.1, so you can extend this utility if you want (please share any enhancements you make).

 Enjoy! :-)

Steve.

Hi, newbie here.

We are using AWR Design Enviroment in our university and so I have to install it (OS: Arch Linux)
I installed it in a Windows 10 VM without problems.

When I try to start it prompts "Failed to connect to license server", I guess thats the first problem.

After that when trying to generate my SUL License it will prompt Internal Error -8 (see Image)

I can't find something on Error -8 :/ and overall the available data to the license topic is quit low :/

If someone has a solution for that I would gladly hear about it :)

Sample clues

18 across: Makoto Hagiwara and David Jung both claim to have invented it (7,6)

1 down: French impressionist who rejected that term (5)

3 down: Artificial surface used for playing hockey (9)

7 down: The sequel to Iliad (7)

12 down: Adipose tissue (4,3)

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Sample clues

6 across: Franchise revived by Frank Miller (6)

13 across: What Keanu Reeves and Zayed Khan have in common (5)

18 across: What Frank Sinatra and George Clooney have in common (6,6)

19 across: Dosa mix, for example (6)

2 down: Green, in a non-environmental way (7)

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Sample clues

5 down: Torso covering (6)

7 down: Government by rogues (12)

15 across: eBay speciality (7)

18 across: Demonic (8)

20 across: Common language (6,6)

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Sample clues

17 across: Beckham speciality (4,4)

4 down: Havana speciality (5)

19 across: Infamous 1988 commercial against Michael Dukakis (9,4)

11 down: Precisely (2,3,3)

13 down: City infamously ransacked by the Japanese in 1937 (7)

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Sample clues

11 across: Chandigarh’s is 0172 (3,4)

21 across: He’s a loser, baby (4)

1 down: Garment meant to shape the torso (6)

12 down: It’s slogan: “Life, Liberty and the Pursuit” (8)

18 down: Noise made by badminton players? (6)

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Sample clues

5 across: The US president’s bird (3,5,3)

11 down: Group once known as the Quarrymen (7)

10 across: Cavalry sword (5)

19 across: Masonic ritual (5,6)

1 down: Pioneer of Ostpolitik (6)

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Sample clues

14 across: FDR’s baby (3,4)

1 down: A glitch in the Matrix? (4,2)

4 down: Slanted character (6)

5 down: New Year’s venue in New York (5,6)

16 down: Atmosphere of melancholy (5)

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Sample clues

6 across: Alejandro González Iñárritu’s breakthrough film (6,6)

19 across: Soft leather shoe (8)

7 down: Randroids, for example (12)

12 down: First American World Chess Champion (7)

17 down: Circle of influence (5)

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Sample clues

5 across: Robbie Robertson song about Richard Manuel (6,5)

2 down: F5 on a keyboard (7)

10 across: Lionel Richie hit (5)

3 down: ALTAIR, for example (5)

16 down: The problem with Florida 2000 (5)

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Sample clues

9 across: Van Morrison classic from Moondance (7)

6 down: Order beginning with ‘A’ (12)

6 across: Fatal weakness (8,4)

19 across: Rolling Stones classic (12)

4 down: Massacre tool (8)

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Read through this blog to know more about the new Reliability Report view in Virtuoso ADE Assembler and Virtuoso ADE Explorer.(read more)

An AMS Designer Flex simulation gives you the most immediate access to the latest simulation technology on either side, gets out of the way of the core engines and allows the engine performance to shine while providing access to new features. Check out this blog to know more.

Socionext, a leader in SoC design, recently made significant strides in enhancing its design efficiency for a complex billion-gate project. Faced with the initial challenges of lengthy eight-day iterations and a protracted two-month timing signoff process, the objective was to reduce the iteration cycle to just three days. By integrating Cadence's cutting-edge solutions—Certus Closure Solution, Tempus Timing Solution, and Quantus Extraction Solution—Socionext achieved remarkable improvements.

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In an era of abundant and constantly evolving information, the challenge is not just accessing knowledge but understanding and applying it effectively. AI is a transformative technology that is reshaping how we learn, work, and grow. In this blog, we’ll explore how AI accelerates our knowledge acquisition and understand how it can relate to the process of learning, which connects with our daily lives.

The role of AI is to accelerate knowledge by personalizing learning experiences, providing instant access to information, and offering data-driven insights. AI empowers us to learn more efficiently and effectively in many ways. I won't go into much detail, as we are already busy searching for the meaning of AI and what it can do; however, I want to share one inspiring fact about AI. It can analyze vast amounts of data in seconds, making sense of complex information and providing instantaneous actionable insights or concise answers. I understand that humans are looking to speed up things, which can help us understand technology better and perform our tasks faster.

The main reason AI is in focus is because of its ability to perform tasks faster than ever. We aim to enhance the performance of all our products, including the everyday household electronic items we use. Similarly, are we striving to accelerate the learning process? I am committed to assisting you, and one such method is concise, short (minute-long) videos.

In today's fast-paced world, where attention spans are shorter than ever, the rise of social media platforms has made it easier for anyone to create and share short videos. This is where minute videos come in. These bite-sized clips offer a quick and engaging way to deliver information to the audience with a significant impact. Understanding the definitions of technical terms in VLSI Design can often be accomplished in just a minute.

Below are the definitions of the essential stages in the RTL2GDSII Flow. For further reference, these definitions are also accessible on YouTube.

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