The market for accelerating specialized data center workloads is expected to grow dramatically over the next few years. The acceleration market was estimated to be in the two-billion-dollar range in 2018, and it is expected to grow to a staggering $21 billion by 2023 – around a 50% CAGR. This growth is not unexpected. The world is producing data at an exponentially growing rate. Estimates are that something like 90% of all … Read More → "Acceleration Battlefield"
For FPGAs, machine vision represents perhaps the ultimate killer app. First, the video landscape is varied enough that there is no “one size fits all” way to manage the data coming into and out of the compute engine. With so many resolutions, frame rates, encoding standards, and so forth – the permutations are dizzying. So dizzying, in fact, that FPGAs have become a go-to solution for design … Read More → "Driving Down Intelligent Vision"
In the 1980s, a dramatic transformation came over the world of computing. Mainframes and minicomputers had long held the lion’s share of the world’s computing workload. Dumb terminals gave users access to the enormous-for-the-time processing and storage resources housed in massive data centers where most of the existing processing and storage capacity lived.
But, microcomputers finally evolved to … Read More → "To the Cloud and Back?"
What do robotic beehives, FPGAs, and AI at the edge have in common? This week’s episode of Fish Fry of course! First up, we chat with Sammy Cheung CEO of Efinix. Sammy and I explore the challenges of launching a new FPGA company today and why artificial intelligence applications at the edge are perfect for their Trion™ FPGA silicon platform. Also this week, we … Read More → "Accelerating AI at the Edge"
Recently, a colleague sent me a note on LinkedIn asking about an article I wrote over a decade ago called “Renaissance FAEs” – celebrating field application engineers (FAEs) working for FPGA companies. I went back and read the piece again, and was struck by three things:
First, the article is still just as relevant today as it was over ten years … Read More → "FPGA FAE Redux Paradox"
Intel released more information last week on One API – a “unified programming model to simplify application development across diverse computing architectures.” This obviously ostentatious claim evokes a firewall between the functionality of a software application and the computing hardware that is executing it. The most extreme interpretation would be that, using One API, a developer or team could develop code once and … Read More → "Intel One API"