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Compiler Support for Sparse Tensor Convolutions
Proceedings of the ACM on Programming Languages (PACMPL), Volume 8, Issue OOPSLA2Article No.: 281, Pages 275–303https://doi.org/10.1145/3689721This paper extends prior work on sparse tensor algebra compilers to generate asymptotically efficient code for tensor expressions with affine subscript expressions. Our technique enables compiler support for a wide range of sparse computations, including ...
The tensor algebra compiler
Proceedings of the ACM on Programming Languages (PACMPL), Volume 1, Issue OOPSLAArticle No.: 77, Pages 1–29https://doi.org/10.1145/3133901Tensor algebra is a powerful tool with applications in machine learning, data analytics, engineering and the physical sciences. Tensors are often sparse and compound operations must frequently be computed in a single kernel for performance and to save ...