• https://en.wikipedia.org/wiki/Matrix_multiplication

• https://en.wikipedia.org/wiki/Strassen_algorithm

• https://en.wikipedia.org/wiki/Cache-oblivious_algorithm

• https://github.com/flame/how-to-optimize-gemm

• BLISlab: A Sandbox for Optimizing GEMM

• Eigen

• BLAS-level CPU Performance in 100 Lines of C

• https://github.com/HazyResearch/blocking-tutorial

Optimization

• https://github.com/flame/how-to-optimize-gemm/wiki

• QNNPACK: Open source library for optimized mobile deep learning

• Tutorial: OpenCL SGEMM tuning for Kepler

• 通用矩阵乘（GEMM）优化算法

• 斯坦福CS217(三)GEMM计算加速

• https://github.com/AyakaGEMM/Hands-on-GEMM

TVM

• a hgemm tvm schedule
• tir effcient gemm

CUDA

• Cuda矩阵乘法GeMM性能优化

• 一步步优化 GEMM by Tensorcore

• 如何高效实现矩阵乘？万文长字带你从CUDA初学者的角度入门

• [施工中] CUDA GEMM 理论性能分析与 kernel 优化

• Nvidia CUDA Core-CUDA HGEMV Optimization : How to extremely optimize CUDA HGEMV with CUDA Core?

• Nvidia Tensor Core-CUDA HGEMM Advanced Optimization : How to extremely optimize CUDA HGEMM with Tensor Core?

• https://github.com/xgqdut2016/hpc_project/tree/main/cuda/matrix

Marlin kernel

• Marlin W4A16&W4A8代码走读

BLAS

• https://stackoverflow.com/questions/1303182/how-does-blas-get-such-extreme-performance
• https://www.quora.com/What-algorithm-does-BLAS-use-for-matrix-multiplication-Of-all-the-considerations-e-g-cache-popular-instruction-sets-Big-O-etc-which-one-turned-out-to-be-the-primary-bottleneck
• GEMM: From Pure C to SSE Optimized Micro Kernels
• OpenBLAS矩阵乘法源码结构分析
• OpenBLAS项目与矩阵乘法优化 | AI 研习社

Systolic Array

• Experiment 3: Systolic-Array Implementation of Matrix-By-Matrix Multiplication

• 无废话说AI算子——Basic Matmul及其在NPU中的实现

• 无废话说AI算子——Basic Matmul在NPU中的时间局部性和多播优化