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  • Beijing, China

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Popular repositories

  1. GEMM_AVX512F GEMM_AVX512F Public

    SGEMM and DGEMM subroutines using AVX512F instructions.

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  2. GEMM_AVX2 GEMM_AVX2 Public

    Fast avx2/fma3 dgemm and sgemm subroutines for medium to large matrices(>2000*2000) on haswell/skylake/zen processors, with performances comparable to MKL.

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  3. Simple_CUDA_GEMM Simple_CUDA_GEMM Public

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  4. GEMM_AVX2_FMA3 GEMM_AVX2_FMA3 Public archive

    sgemm and dgemm subroutine for large matrices, slightly outperform Intel MKL

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  5. COMPLEX_GEMM_AVX2_FMA3 COMPLEX_GEMM_AVX2_FMA3 Public

    cgemm and zgemm subroutines for large matrices, using avx2 and fma3 instructions, with performance comparable to MKL2018

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    how to design cpu gemm on x86 with avx256, that can beat openblas.

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