editor's blog
Subscribe Now

Simpler CDC Exception Handling

For static timing analysis, it’s a concept that goes back years. You get a bunch of violations, and then you have to decide which ones represent false paths or multi-cycle paths and create “exceptions” for them. Tedious.

Well, apparently formal analysis can have the same issue. Only here they’re referred to as “waivers,” according to Real Intent. If you run analysis and get a long list of potential violations, you have to go through the list and, one by one, check them for “false positives” and mark them as such. Time-consuming and error-prone. And tedious. Especially when working on large-scale SoCs (so-called “giga-scale”).

In their latest release of Meridian CDC, which does clock-domain crossing verification, Real Intent has provided a different way of handling this: provide more granular control over the run parameters in the form of rules or constraints that can be successively refined.

Using the old method, if a particular over-reaching aspect of analysis caused 100 false positives, you’d have to find all 100 and “waive” them. With the new approach, when you find the first one, you make the refinement, and then, with a rerun of the analysis, the one you found and the other 99 all disappear. OK, not disappear per se, but they’re grouped together as not being an unexpected finding. You can also review that list to make sure nothing snuck through. (This is a simplification of a more sophisticated overall process, but it captures the essence.)

This may take some iterations, but in the end, you can have a clean run with no exceptions, and the way you got there is less likely to have involved a mistake here or there.

You can find out more about Real Intent’s latest Meridian CDC release in their announcement.

Leave a Reply

featured blogs
Jul 20, 2024
If you are looking for great technology-related reads, here are some offerings that I cannot recommend highly enough....

featured video

How NV5, NVIDIA, and Cadence Collaboration Optimizes Data Center Efficiency, Performance, and Reliability

Sponsored by Cadence Design Systems

Deploying data centers with AI high-density workloads and ensuring they are capable for anticipated power trends requires insight. Creating a digital twin using the Cadence Reality Digital Twin Platform helped plan the deployment of current workloads and future-proof the investment. Learn about the collaboration between NV5, NVIDIA, and Cadence to optimize data center efficiency, performance, and reliability. 

Click here for more information about Cadence Data Center Solutions

featured chalk talk

Shift Left with Calibre
In this episode of Chalk Talk, Amelia Dalton and David Abercrombie from Siemens investigate the details of Calibre’s shift-left strategy. They take a closer look at how the tools and techniques in this design tool suite can help reduce signoff iterations and time to tapeout while also increasing design quality.
Nov 27, 2023
31,073 views