Hacker News Reader

Yup exactly. There is some research on BNN (binary neural networks) but I was curious how this paper approached it (not really anything of substance here)

View on HN

Tangent, but I suspect you've researched this topic more than I have -- do you know of any good source on the subject of FPGA NNs?

It dawns on me that FPGAs might actually be better than GPUs for a project I've been thinking about, but I know relatively little about state-of-the-art design/synthesis techniques.

I've searched high and low and there isn't much, partially because the barrier to entry to both is really high. I've been experimenting a fair bit and might start blogging about both failed and successful experiments I've run on a Cyclone V FGPA but I'm not convinced there'd be a ton of interest. That said, I do not work at a company that uses FPGAs or proprietary hardware and I believe part of the reason the field is dark is because that's just how hardware development shops have operated.

Your experience of it being hard to even get started because of the insular hardware community mirrors mine. (Well, I guess my employer does use FPGAs somewhere, but in a department far from me.)

Are you just using a Cyclone V demo board? To be honest, it's actually a little hard to even find FPGA accelerators that aren't bespoke.

Reply on news.ycombinator.com