I wrote previously that the debate over which CPU rules the world (Arm versus RISC-V) somewhat misses the forest for the trees in modern systems. This is nowhere more obvious that in intelligent audio and vision: smart doorbells, speakers, voice activated remotes, intelligent earbuds, automotive collision avoidance, self-parking,… Read More
New STA Features from Cadence
Static Timing Analysis (STA) has been an EDA tool category for many years now, yet with each new generation of smaller foundry process nodes come new physical effects that impact timing, requiring new analysis features to be added. For advanced process nodes, there are five different types of analysis that must be included when… Read More
Developing Effective Mixed Signal Models. Innovation in Verification
Mixed-signal modeling is becoming more important as interaction between digital and analog circuitry become more closely intertwined. This level of modeling depends critically on sufficiently accurate yet fast behavioral models for analog components. Paul Cunningham (Senior VP/GM, Verification at Cadence), Raúl Camposano… Read More
Assertion Synthesis Through LLM. Innovation in Verification
Assertion based verification is a very productive way to catch bugs, however assertions are hard enough to write that assertion-based coverage is not as extensive as it could be. Is there a way to simplify developing assertions to aid in increasing that coverage? Paul Cunningham (Senior VP/GM, Verification at Cadence), Raúl … Read More
Cadence Tensilica Spins Next Upgrade to LX Architecture
When considering SoC architectures it is easy to become trapped in simple narratives. These assume the center of compute revolves around a central core or core cluster, typically Arm, more recently perhaps a RISC-V option. Throw in an accelerator or two and the rest is detail. But for today’s competitive products that view is a … Read More
Inference Efficiency in Performance, Power, Area, Scalability
Support for AI at the edge has prompted a good deal of innovation in accelerators, initially in CNNs, evolving to DNNs and RNNs (convolutional neural nets, deep neural nets, and recurrent neural nets). Most recently, the transformer technology behind the craze in large language models is proving to have important relevance at… Read More
Mixed Signal Verification is Growing in Importance
I have historically avoided mixed signal topics, assuming they decouple from digital and can be left to the experts. That simple view no longer holds water. Analog and digital are becoming more closely linked through control loops and datapaths, requiring a careful balancing act in verification between performance, accuracy… Read More
Anomaly Detection Through ML. Innovation in Verification
Assertion based verification only catches problems for which you have written assertions. Is there a complementary approach to find problems you haven’t considered – the unknown unknowns? Paul Cunningham (Senior VP/GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now… Read More
Breakthrough Gains in RTL Productivity and Quality of Results with Cadence Joules RTL Design Studio
Register Transfer Level (RTL) is a crucial and valuable concept in digital hardware design. Over the years, it has played a fundamental role in enabling design of complex digital chips. By abstracting away implementation details and providing a clear description of digital behavior, RTL has contributed significantly to the… Read More
Cadence and AI at #60DAC
Paul Cunningham from Cadence presented at the #60DAC Pavilion and gave one of the most optimistic visions of AI applied to EDA that I’ve witnessed, so hopefully I can convey some of his enthusiasm and outright excitement in my blog report. Mr. Cunningham reviewed the various ages of EDA design with each era providing about… Read More