Leveraging RISC-V for AI and Machine Learning
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For those who follow RISC-V, this doesn't add any new information that wasn't already made public during the latest RISC-V conference. Proceedings here: https://riscv.org/2017/12/7th-risc-v-workshop-proceedings/
It'd interesting to explore how Arduino and, later, the RPi impacted their respective architectures' presence in the embedded space.
As for REX, I don't really know what to think about it. Here's a recent thread on RWT: https://www.realworldtech.com/forum/?threadid=172976&curpost... . People there seem quite skeptical about the whole thing.
1) Asynchronous logic. 2) Stack machine design. 3) Extremely limited memory per cell. 4) 18-bit words. 5) No MMU.
Chuck Moore gave a nice presentation on applications and his rationale here: https://www.infoq.com/presentations/power-144-chip
I thought it was pretty neat how in some of his design docs, a column of async cores are used as a memory controller.
[1] https://www.youtube.com/watch?v=f-b4QOzMyfU
[2] https://content.riscv.org/wp-content/uploads/2017/12/Tue1136...
[3] https://riscv.org/2017/12/7th-risc-v-workshop-proceedings/