MLIR: Scaling Compiler Infrastructure for Domain Specific
Computation -
Chris Lattner, Mehdi Amini, Uday Bondhugula, Albert Cohen, Andy Davis, Jacques Pienaar, River Riddle, Tatiana Shpeisman, Nicolas Vasilache, Oleksandr Zinenko - In proceedings of 2021 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) - pp. 2-14 -
A preprint is available on
arXiv, see
FAQ
for citation how-to.
Compiler Support for Sparse Tensor Computations in MLIR -
Aart J.C. Bik, Penporn Koanantakool, Tatiana Shpeisman, Nicolas Vasilache, Bixia Zheng, Fredrik Kjolstad.
ACM Transactions on Architecture and Code Optimization, June, 2022.
Appeared as preprint on
arXiv, February 9, 2022.
Structured Operations: Modular Design of Code Generators for Tensor Compilers -
Nicolas Vasilache, Oleksandr Zinenko, Aart J.C. Bik, Mahesh Ravishankar, Thomas Raoux,
Alexander Belyaev, Matthias Springer, Tobias Gysi, Diego Caballero, Stephan Herhut, Stella Laurenzo,
and Albert Cohen - In proceedings of the International Workshop on Languages and Compilers for
Parallel Computing (LCPC) - October 12, 2022 - pp. 141-156. An extended version is available on
arXiv.
The Deep Learning Compiler: A Comprehensive Survey -
Li, Mingzhen, Yi Liu, Xiaoyan Liu, Qingxiao Sun, Xin You, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, and Depei Qian. “The deep learning compiler: A comprehensive survey.” IEEE Transactions on Parallel and Distributed Systems 32, no. 3 (2020): 708-727.