This is stars and forks stats for /wangsiping97/FastGEMV repository. As of 11 May, 2024 this repository has 26 stars and 0 forks.
FastGEMV This repository provides a collection of kernel functions that enable high-speed computation of GEMV (matrix-vector dot product). We have implemented and benchmarked the following scenarios: matrix: fp16, vector: fp16; matrix: int8 (quantized with fp16 scale/zero point), vector: fp16; matrix: int4 (quantized with fp16 scale/zero point), vector: fp16. The matrix and vector sizes range from 512 to 16384. On P100 GPUs, we achieved a maximum speedup of 2.7x compared to the PyTorch baseline....
FastGEMV This repository provides a collection of kernel functions that enable high-speed computation of GEMV (matrix-vector dot product). We have implemented and benchmarked the following scenarios: matrix: fp16, vector: fp16; matrix: int8 (quantized with fp16 scale/zero point), vector: fp16; matrix: int4 (quantized with fp16 scale/zero point), vector: fp16. The matrix and vector sizes range from 512 to 16384. On P100 GPUs, we achieved a maximum speedup of 2.7x compared to the PyTorch baseline....
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