Accelerating ML Recommendation With Over 1, 000 RISC-V/Tensor Processors on Esperanto's ET-SoC-1 Chip
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DOI: 10.1109/mm.2022.3140674
Abstract: Machine learning (ML) recommendation workloads have demanding performance and memory requirements and, to date, have largely been run on servers with x86 processors. To accelerate these workloads (and others), Esperanto Technologies has implemented over 1,000… read more here.
Keywords: accelerating recommendation; recommendation; recommendation 000; soc chip ... See more keywords