PLDI · June 2023
Mosaic: An Interoperable Compiler for Tensor Algebra
Distinguished Paper Award
Related software
- Mosaic: An Interoperable Compiler for Tensor Algebra A tensor algebra compiler, built on TACO, that binds parts of an expression to external hand-tuned functions from other libraries and generates the rest, searching for the best mapping.
- TACO: The Tensor Algebra Compiler A compiler that generates fast kernels for tensor algebra expressions over dense and sparse tensors from a high-level index notation.
Cite this paper
Citation
Manya Bansal, Olivia Hsu, Kunle Olukotun, and Fredrik Kjolstad. Mosaic: An Interoperable Compiler for Tensor Algebra. PLDI, 2023.
BibTeX
@inproceedings{bansal2023mosaic,
title = {Mosaic: An Interoperable Compiler for Tensor Algebra},
author = {Manya Bansal and Olivia Hsu and Kunle Olukotun and Fredrik Kjolstad},
booktitle = {ACM SIGPLAN Conference on Programming Language Design and Implementation},
year = {2023},
month = {jun},
doi = {10.1145/3591236},
url = {https://compilers.stanford.edu/publications/mosaic.pdf}
}