ET-minion can complete with GPUs because it is essentially a GPU. Most GPUs are in-order RISC machines with very wide SIMD ALUs and huge register banks. Whether

ET-minion can complete with GPUs because it is essentially a GPU. Most GPUs are in-order RISC machines with very wide SIMD ALUs and huge register banks. Whether it runs RISC-V or some proprietary ISA doesn’t really matter. How you build things does. And anyway, RISC-V vector ISA seems to be closely inspired by GPU ISAs to begin with. Regarding SIMD: maybe you are right. I don’t know. Performance of RISC-V vectors here is an unknown factor. If VSETVL is zero-cost and the CPU can rename vector partitions without added latency, sure. But I remain skeptical until proven otherwise. The very design of RISC-V vector stuff screams amortized processing of large data blocks, not flexible low-latency operations on small data blocks. And notably, I could not find basic SIMD shuffle/interleave operations in the spec. That’s perfectly fine for large data vectors where you can work with multiple instruction, data-parallel vector registers and blends, but it would kill performance for many algorithms that work on limited number of lanes.