Businesses across the world are rapidly leveraging the Internet-of-Things (#IoT) to create new products and services that are opening up new business opportunities and creating new business models. The resulting transformation is ushering in a new era of how companies run their operations and engage with customers. However,… Read More
Streamlining Functional Verification for Multi-Die and Chiplet DesignsAs multi-die and chiplet-based system designs become more…Read More
S2C Advances RISC-V Ecosystem, Accelerating Innovation at 2025 Summit ChinaShanghai, July 19, 2025 — S2C, a leader in functional…Read More
Samtec Practical Cable Management for High-Data-Rate SystemsAccording to a recent Samtec whitepaper, in high-data-rate…Read More
A Quick Tour Through Prompt Engineering as it Might Apply to DebugThe immediate appeal of large language models (LLMs)…Read More
Webinar: Next Generation Design Data & Release Management
Design Data Management (DDM) is a bit like insurance. It’s something every semiconductor company has to have, and as a result it’s probably something taken for granted. In order to make their products more useful, the DDM vendors have added more functionality to manage more of the lifecycle of design data.
Dassault’s Synchronicity… Read More
Power Checks for Your Libraries
When your design doesn’t work, who owns that problem? I don’t believe the answer to this question has changed significantly since semiconductor design started, despite distributed sourcing for IP and manufacturing. Some things like yield can (sometimes) be pushed back to the foundry, but mostly the design company owns the problem.… Read More
Webinar on TFT and FPD Design
I knew that the acronym for TFT meant Thin Film Transistors, but I hadn’t heard that FPD stands for Flat Panel Detectors. It turns out the FPD are solid-state sensors used in x-ray applications, similar in operation to image sensors for digital photography and video. I’ll be attending and blogging about what I learn… Read More
Polishing Parallelism
The great thing about competition in free markets is that vendors are always pushing their products to find an edge. You the consumer don’t have to do much to take advantage of these advances (other than possibly paying for new options). You just sit back and watch the tool you use get faster and deliver better QoR. You may think that… Read More
Circuit Design: Anticipate, Analyze, Exploit Variations – Statistical Methods and Optimization
We are happy to publish book reviews, like this one from Dr. Georges Gielen of the KU Leuven in Belgium, for the greater good of the semiconductor ecosystem. So, if you have a semiconductor book you would like to review for fame not fortune let me know.… Read More
ARM’s (Back!) in FD-SOI. NXP’s Showing (Real!) Chips.
“Yes, we’re back,” Ron Moore, VP of ARM’s physical design group told a packed ballroom at the recent FD-SOI Symposium organized in Silicon Valley by the SOI Consortium. FD-SOI gives you a silicon platform that’s highly controllable, enables ultra-low power devices, and is really good with RF, said Ron Moore during his presentation,… Read More
Achieving Requirements Traceability from Concept through Design and Test
Excel is a wonderful, general purpose spreadsheet tool that lets me organize and analyze rows and columns of data into something meaningful, however it doesn’t know anything about requirements traceability for complex semiconductor projects. So why do so many engineering teams still rely upon Excel or custom, in-house… Read More
System-Level Power Estimation
When I first saw that Rob Knoth (Product Director at Cadence) had proposed this topic as a subject for a blog, my reaction was “well, how accurate can that be?” I’ve been around the power business for a while, so I should know better. It’s interesting that I jumped straight to that one metric for QoR; I suspect many others will do the same.… Read More
We Need Libraries – Lots of Libraries
It was inevitable that machine learning (ML) would come to EDA. In fact, it has already been here a while in Solido’s variation tools. Now it has found an even more compelling application – library characterization. Just as ML has radically transformed other computational arenas; it looks like it will be extremely disruptive here… Read More
Should the US Government Invest in Intel?