sgemm
There are 1 repository under sgemm topic.
Liu-xiandong / How_to_optimize_in_GPU
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
Language:Cuda 705- Language:Cuda 164
mz24cn / gemm_optimization
The repository targets the OpenCL gemm function performance optimization. It compares several libraries clBLAS, clBLAST, MIOpenGemm, Intel MKL(CPU) and cuBLAS(CUDA) on different matrix sizes/vendor's hardwares/OS. Out-of-the-box easy as MSVC, MinGW, Linux(CentOS) x86_64 binary provided. 在不同矩阵大小/硬件/操作系统下比较几个BLAS库的sgemm函数性能，提供binary，开盒即用。
Language:C 14Stefan20162016 / maxas-explained
maxas Scott Grey's maxas assembler sgemm explaining the (for me) missing parts https://github.com/NervanaSystems/maxas
Language:CSS 13- Language:C 10
- Language:Mathematica 7
- Language:Assembly 7
JunLee85 / ARM32-SGEMM-LIB
a fast sgemm lib with fix 16 enable on arm 32
Language:C 3- Language:Cuda 3
aidevnn / CuPyFirstExample
CuPy first example computing GEMM with cuBlas, with handwritten cuda kernel and with NumPy-blas
Language:Cuda
