Discovering faster matrix multiplication algorithms with reinforcement learning 论文

详细信息

发表期刊/会议

Nature

发表日期

2022-10-05

发表年份

2022

摘要

. We further showcase the flexibility of AlphaTensor through different use-cases: algorithms with state-of-the-art complexity for structured matrix multiplication and improved practical efficiency by optimizing matrix multiplication for runtime on specific hardware. Our results highlight AlphaTensor's ability to accelerate the process of algorithmic discovery on a range of problems, and to optimize for different criteria.