The upshot: GlobalFoundries, having foregone the bleeding edge, has positioned itself as offering specialty technology – but, if you look at the numbers, it’s for the mainstream.
Last year, we looked in depth at GlobalFoundries’ decision to stop chasing after the most aggressive silicon nodes – 7 nm and below – for reasons that Read More → "Specialty Tech for the Mainstream"
Design automation and verification take center stage in this week’s podcast! First up, Seena Shankar (Cadence Design Systems) joins me to discuss the power of cloud computing in EDA. Next, Vanessa Cooper (DVCon U.S. Technical Program Committee Chair) gives special sneak peek into this year’s Design and Verification Conference and Expo. Vanessa and I discuss the various workshops and tutorials offered at this … Read More → "Infinite Compute Capacity"
They taught me a lot of things at university. Unfortunately, they neglected to mention the topic of switch bounce. If you are a practicing engineer working with electronic systems, you will almost certainly have run into this problem. If you are new to the field, you can be assured that the delights of switch bounce are lurking out there waiting for an opportunity to bid you … Read More → "Ultimate Guide to Switch Debounce (Part 1)"
Every engineer I’ve ever asked has said the same thing happens to them on a fairly regular basis. They’ll see an online announcement or presentation on some cool new application, piece of gear, or clever Kickstarter product and think (or say), “Hey, I thought of that several years ago.” It’s a frustrating feeling, that some throw-away thought you had in the shower four … Read More → "The Originality Myth"
“I have never killed a man, but I have read many obituaries with great pleasure.” – Clarence Darrow
Product longevity may not be dead, but those who hold it dear have been asked to assemble.
Google, Best Buy, Microsoft, Spectrum Cable, and others have all unilaterally bricked products in customers’ hands. Even virtual … Read More → "Killing Off Products for Fun and Profit"
The upshot: MLPerf has announced inference benchmarks for neural networks, along with initial results.
Congratulations! You now have the unenviable task of deciding which neural-network (NN) inference engine to use in your application. You want, of course, the fastest one. And it needs to run at the edge on a battery-powered device. All you have to do is … Read More → "Neural-Net Inference Benchmarks"
