An Attempt to Generate Code for Symmetric Tensor Computations
arxiv(2021)
摘要
This document describes an attempt to develop a compiler-based approach for computations with symmetric tensors. Given a computation and the symmetries of its input tensors, we derive formulas for random access under a storage scheme that eliminates redundancies; construct intermediate representations to describe the loop structure; and translate this information, using the taco tensor algebra compiler, into code. While we achieve a framework for reasoning about a fairly general class of symmetric computations, the resulting code is not performant when the symmetries are misaligned.
更多查看译文
关键词
symmetric tensor computations,code
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要