gemm-optimization
There are 2 repositories under gemm-optimization topic.
tpoisonooo / how-to-optimize-gemm
row-major matmul optimization
Language:C++ 544iVishalr / GEMM
Fast Matrix Multiplication Implementation in C programming language. This matrix multiplication algorithm is similar to what Numpy uses to compute dot products.
Language:C 16mz24cn / 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 14zixuanweeei / gemm-opt
Manually optimize the GEMM (GEneral Matrix Multiply) operation. There is a long way to go.
Language:C++ 8- Language:C 6
fan1997 / HP-SpMM-SDDMM
Fast SpMM implementation on GPUs for GNN (IPDPS'23)
Language:C++ 5digital-nomad-cheng / matmul_cuda_kernel_tvm
Generate optimized MatMul cuda kernel automatically using tvm auto schedule.
Language:Jupyter Notebook 4marina-neseem / Accera-High-Perf-DL
Case Studies for using Accera - the open source cross-platform compiler from Microsoft Research - to create high performance deep learning computations (i.e. GEMM, Convolution, etc.)
Language:Python 3hwchen2017 / Optimize_DGEMM_on_Intel_CPU
Implementations of DGEMM algorithm using different tricks to optimize the performance.
Language:C 2JoeruCodes / CUDA-GEMM-kernel
My attempt of making a GEMM kernel...
Language:Cuda 2scocoyash / Convolution-To-Gemm
My experiments with convolution
Language:C++ 2- Language:C++ 2
hpca-uji / ConvLIB
ConvLIB is a library of convolution kernels for multicore processors with ARM (NEON) or RISC-V architecture
Language:C 0Implementations of SGEMM algorithm on Nvidia GPU using different tricks to optimize the performance.
Language:Cuda 0
