SiFive launched its 2nd Generation Intelligence™ family, featuring five new RISC-V-based products designed to accelerate AI ...
Abstract: In the realm of recommendation systems, achieving real-time performance in embedding similarity tasks is often hindered by the limitations of traditional Top-K sparse matrix-vector ...
Abstract: Mixed-precision computation, which uses multiple different precision in a single code, is being studied to increase computational speed and energy efficiency. It typically uses the IEEE ...
This week at the AI Infra Summit, the RISC-V chip designer revealed its second generation of Intelligence cores, including ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--Further expanding SiFive’s lead in RISC-V AI IP, the company today launched its 2nd Generation Intelligence™ family, featuring five new RISC-V-based products ...
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Tom's Hardware on MSN
New 3D-stacked memory tech seeks to dethrone HBM for AI inference — d-Matrix claims 3DIMC will be 10x faster and 10x more efficient
Santa Clara-based startup d-Matrix looks to replace HBM in AI inference with 3DIMC, or 3D digital in-memory-compute. The ...
This repository contains the CUDA kernels for general matrix-matrix multiplication (GEMM) and the corresponding performance analysis. The correctness of the CUDA kernels is guaranteed for any matrix ...
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