关键词：矩阵乘法算法；机器学习；密集矩阵；硬件架构
摘 要：We present a machine learning technique for the algorithm selection problem, specifically focusing on algorithms for dense matrix multiplication. Dense matrix multiplication is a core component of many high-performance computing and machine learning algorithms [1], but the performance of matrix multiplication algorithms can vary significantly based on input parameters and hardware architecture.