4 ms·
I'm not sure about this comparison. The AD633 priced as a niche product for a captive market, and the STM32F030F4 can't do the job by itself because it lacks a
by sheepshear 3y ago
I'm not sure about this comparison. The AD633 priced as a niche product for a captive market, and the STM32F030F4 can't do the job by itself because it lacks a DAC.
- theamk 3y agoThe goal is not to multiply two analog voltages, but rather generic "matrix math". To quote original article: > Deep learning and recent transformer models are really just matrix multiplication machines. Analog integrated circuits are well-suited for efficiently implementing matrix multiplication operations. [...] Keeping computations in the analog domain avoids costly digitization and leverages the parallelism and density possible on an IC substrate. I call BS on this. You are never going to have enough precision in analog world to do what top current ML models do. And even if you can create model dumbed down enough to run on analog, it's cost (and power usage) is going to be astronomical.
- sheepshear 3y agoI can't imagine, either, how it could make sense to do a computation like that in analog. I'm just saying it wouldn't cost $10 per multiply as part of a mixed-signal chip.