A fast GEMM implementation on the cypress GPU

@article{Nakasato2011AFG,
  title={A fast GEMM implementation on the cypress GPU},
  author={Naohito Nakasato},
  journal={SIGMETRICS Performance Evaluation Review},
  year={2011},
  volume={38},
  pages={50-55}
}
We present benchmark results of optimized dense matrix multiplication kernels for Cypress GPU. We write general matrix multiply (GEMM) kernels for single (SP), double (DP) and double-double (DDP) precision. Our SGEMM and DGEMM kernels show ~ 2 Top/s and ~ 470 Glop/s, respectively. These results for SP and DP correspond to 73% and 87% of the theoretical performance of the GPU, respectively. Currently, our SGEMM and DGEMM kernels are fastest with one GPU chip to our knowledge. Furthermore, the… CONTINUE READING
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