FPGAs were conceived as “do anything” chips – Jacks of all Trades. Sure, they were crazy expensive for the number of effective gates they offered, they were a lot slower than custom logic doing the same task, and they drank copious quantities of coulombs getting the job done, but they could be programmed to do exactly your bidding. In a lot of designs, that made the FPGA the no-longer-missing link – … Read More → "Programmable Pile of Parts"
What’s this FPGA doing in my new Arduino Vidor? I think it’s the backstroke, sir. – Classic British Humor (paraphrased)
Among several new development boards announced by Arduino.cc just before the opening of the Bay Area Maker Faire in May, the … Read More → "Arduino Swallows the Blue Pill"
Sometimes it’s about new technology, and sometimes it’s about something as mundane as pricing or form factor. Last year it was the former; this year it’s the latter.
Mentor has added a new platform to their Veloce Strato emulation family. We saw the basics of Strato Read More → "Emulator Infill"
“Success is where preparation and opportunity meet.” – Bobby Unser
Many of us would love to get started on an artificial intelligence-enhanced IoT edge device design but we’re not sure how to get started. In this week’s episode of Fish Fry, I sit down with Deepak Boppana and we talk about a new technology stack unveiled by Lattice Semiconductor called sensAI. Deepak and I … Read More → "sensAI and Sensibility"
Almost exactly four years ago, at Gigaom Structure 2014, Intel’s Diane Bryant announced that the company would be “integrating [Intel’s] industry-leading Xeon processor with a coherent FPGA in a single package, socket compatible to [the] standard Xeon E5 processor offerings.” It was a bare-bones sort of announcement with zero details, except that she expected the combination would deliver data center customers “a programmable, high performance coherent acceleration capability … Read More → "Intel Delivers Xeon Scalable Processor 6138P with Arria 10 GX 1150 FPGA"
AI in edge devices is expected to experience mind-blowing growth over the next half decade, with predictions exceeding 100% CAGR. That means our IoT devices are going to be getting smart, and doing it quickly. Most of the applications of AI in edge or endpoint devices centers on sensors. Our devices are equipped with increasing numbers of increasingly complicated sensors, drowning our devices in data. In most applications, however, it … Read More → "More AI at the Edge"
