| title | date | draft | weight |
|---|---|---|---|
MLIR Related Publications |
2021-10-23 15:26:15 UTC |
false |
1 |
- 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.
- The MLIR Transform Dialect: Your Compiler Is More Powerful Than You Think - Martin Paul Lücke, Oleksandr Zinenko, William S Moses, Michel Steuwer, Albert Cohen - In Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization - pp. 241-254 - March 3, 2025.
- 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.
- A MLIR Dialect for Quantum Assembly Languages
- Compiling ONNX Neural Network Models Using MLIR
- SyFER-MLIR: Integrating Fully Homomorphic Encryption Into the MLIR Compiler Framework
- Domain-Specific Multi-Level IR Rewriting for GPU
- High Performance Code Generation in MLIR: An Early Case Study with GEMM - Uday Bondhugula
- TinyIREE: An ML Execution Environment for Embedded Systems from Compilation to Deployment
- Polygeist: Raising C to Polyhedral MLIR
- High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs
- PolyMorphous: An MLIR-Based Polyhedral Compiler with Loop Transformation Primitives
- PolyBlocks: A Compiler Infrastructure for AI Chips and Programming Frameworks