MLIR (software) (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "MLIR (software)" in English language version.

refsWebsite

Global rank English rank

13llvm.org

low place

7,917^th place

8doi.org

2^nd place

5arxiv.org

69^th place

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4acm.org

1,185^th place

840^th place

4semanticscholar.org

11^th place

8^th place

3worldcat.org

5^th place

2ieee.org

652^nd place

515^th place

1modular.com

low place

1mit.edu

415^th place

327^th place

1github.com

383^rd place

320^th place

1research.google

low place

acm.org

dl.acm.org

Mernik, Marjan; Heering, Jan; Sloane, Anthony M. (December 2005). "When and how to develop domain-specific languages". ACM Computing Surveys. 37 (4): 316–344. doi:10.1145/1118890.1118892. ISSN 0360-0300. S2CID 207158373.
Agostini, Nicolas Bohm; Curzel, Serena; Amatya, Vinay; Tan, Cheng; Minutoli, Marco; Castellana, Vito Giovanni; Manzano, Joseph; Kaeli, David; Tumeo, Antonino (2022-10-30). "An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration". Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design. Association for Computing Machinery. pp. 1–9. doi:10.1145/3508352.3549424. ISBN 978-1-4503-9217-4.
Katel, Navdeep; Khandelwal, Vivek; Bondhugula, Uday (2022-03-19). "MLIR-based code generation for GPU tensor cores". Proceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction. ACM. pp. 117–128. doi:10.1145/3497776.3517770. ISBN 978-1-4503-9183-2. S2CID 247522110.
Bik, Aart; Koanantakool, Penporn; Shpeisman, Tatiana; Vasilache, Nicolas; Zheng, Bixia; Kjolstad, Fredrik (2022-12-31). "Compiler Support for Sparse Tensor Computations in MLIR". ACM Transactions on Architecture and Code Optimization. 19 (4): 1–25. arXiv:2202.04305. doi:10.1145/3544559. ISSN 1544-3566. S2CID 246680261.

arxiv.org

Ruizhe, Zhao; Jianyi, Cheng (2021). "Phism: Polyhedral High-Level Synthesis in MLIR". arXiv:2103.15103 [cs.PL].
McCaskey, Alexander; Nguyen, Thien (October 2021). "A MLIR Dialect for Quantum Assembly Languages". 2021 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE. pp. 255–264. arXiv:2101.11365. doi:10.1109/QCE52317.2021.00043. ISBN 978-1-6654-1691-7. S2CID 231718965.
Jin, Tian; Bercea, Gheorghe-Teodor; Le, Tung D.; Chen, Tong; Su, Gong; Imai, Haruki; Negishi, Yasushi; Leu, Anh; O'Brien, Kevin; Kawachiya, Kiyokuni; Eichenberger, Alexandre E. (2020). "Compiling ONNX Neural Network Models Using MLIR". arXiv:2008.08272 [cs.PL].
Hu, Pengchao; Lu, Man; Wang, Lei; Jiang, Guoyue (2022). "TPU-MLIR: A Compiler For TPU Using MLIR". arXiv:2210.15016 [cs.PL].
Bik, Aart; Koanantakool, Penporn; Shpeisman, Tatiana; Vasilache, Nicolas; Zheng, Bixia; Kjolstad, Fredrik (2022-12-31). "Compiler Support for Sparse Tensor Computations in MLIR". ACM Transactions on Architecture and Code Optimization. 19 (4): 1–25. arXiv:2202.04305. doi:10.1145/3544559. ISSN 1544-3566. S2CID 246680261.

doi.org

Lattner, Chris; Amini, Mehdi; Bondhugula, Uday; Cohen, Albert; Davis, Andy; Pienaar, Jacques; Riddle, River; Shpeisman, Tatiana; Vasilache, Nicolas; Zinenko, Oleksandr (2021). "MLIR: Scaling Compiler Infrastructure for Domain Specific Computation". 2021 IEEE/ACM International Symposium on Code Generation and Optimization (CGO). pp. 2–14. doi:10.1109/CGO51591.2021.9370308. ISBN 978-1-7281-8613-9.
Mernik, Marjan; Heering, Jan; Sloane, Anthony M. (December 2005). "When and how to develop domain-specific languages". ACM Computing Surveys. 37 (4): 316–344. doi:10.1145/1118890.1118892. ISSN 0360-0300. S2CID 207158373.
Moses, William S.; Chelini, Lorenzo; Zhao, Ruizhe; Zinenko, Oleksandr (2021). Polygeist: Raising C to Polyhedral MLIR. 30th International Conference on Parallel Architectures and Compilation Techniques (PACT). pp. 45–59. doi:10.1109/PACT52795.2021.00011. ISBN 978-1-6654-4278-7.
Agostini, Nicolas Bohm; Curzel, Serena; Amatya, Vinay; Tan, Cheng; Minutoli, Marco; Castellana, Vito Giovanni; Manzano, Joseph; Kaeli, David; Tumeo, Antonino (2022-10-30). "An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration". Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design. Association for Computing Machinery. pp. 1–9. doi:10.1145/3508352.3549424. ISBN 978-1-4503-9217-4.
McCaskey, Alexander; Nguyen, Thien (October 2021). "A MLIR Dialect for Quantum Assembly Languages". 2021 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE. pp. 255–264. arXiv:2101.11365. doi:10.1109/QCE52317.2021.00043. ISBN 978-1-6654-1691-7. S2CID 231718965.
Park, Sunjae; Song, Woosung; Nam, Seunghyeon; Kim, Hyeongyu; Shin, Junbum; Lee, Juneyoung (2023-06-06). "HEaaN.MLIR: An Optimizing Compiler for Fast Ring-Based Homomorphic Encryption". Proceedings of the ACM on Programming Languages. 7 (PLDI): 196–220. doi:10.1145/3591228. ISSN 2475-1421.
Katel, Navdeep; Khandelwal, Vivek; Bondhugula, Uday (2022-03-19). "MLIR-based code generation for GPU tensor cores". Proceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction. ACM. pp. 117–128. doi:10.1145/3497776.3517770. ISBN 978-1-4503-9183-2. S2CID 247522110.
Bik, Aart; Koanantakool, Penporn; Shpeisman, Tatiana; Vasilache, Nicolas; Zheng, Bixia; Kjolstad, Fredrik (2022-12-31). "Compiler Support for Sparse Tensor Computations in MLIR". ACM Transactions on Architecture and Code Optimization. 19 (4): 1–25. arXiv:2202.04305. doi:10.1145/3544559. ISSN 1544-3566. S2CID 246680261.

github.com

"HEIR: Homomorphic Encryption Intermediate Representation". GitHub. Retrieved 2023-09-05.

ieee.org

ieeexplore.ieee.org

Moses, William S.; Chelini, Lorenzo; Zhao, Ruizhe; Zinenko, Oleksandr (2021). Polygeist: Raising C to Polyhedral MLIR. 30th International Conference on Parallel Architectures and Compilation Techniques (PACT). pp. 45–59. doi:10.1109/PACT52795.2021.00011. ISBN 978-1-6654-4278-7.
McCaskey, Alexander; Nguyen, Thien (October 2021). "A MLIR Dialect for Quantum Assembly Languages". 2021 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE. pp. 255–264. arXiv:2101.11365. doi:10.1109/QCE52317.2021.00043. ISBN 978-1-6654-1691-7. S2CID 231718965.

llvm.org

mlir.llvm.org

"MLIR Language Reference - MLIR". mlir.llvm.org. Retrieved 2023-07-05.
"MLIR Rationale - MLIR". mlir.llvm.org. Retrieved 2023-07-05.
"Dialects - MLIR". mlir.llvm.org. Retrieved 2023-07-07.
"Operation Definition Specification (ODS) - MLIR". mlir.llvm.org. Retrieved 2023-07-05.
"Defining Dialects - MLIR". mlir.llvm.org. Retrieved 2023-07-07.
"Pattern Rewriting : Generic DAG-to-DAG Rewriting - MLIR". mlir.llvm.org. Retrieved 2023-07-06.
"Dialect Conversion - MLIR". mlir.llvm.org. Retrieved 2023-07-06.
"Traits - MLIR". mlir.llvm.org. Retrieved 2023-07-05.
"Interfaces - MLIR". mlir.llvm.org. Retrieved 2023-07-05.

llvm.org

"The LLVM Compiler Infrastructure". LLVM. Retrieved 2023-10-01. The MLIR subproject is a novel approach to building reusable and extensible compiler infrastructure. MLIR aims to address software fragmentation, improve compilation for heterogeneous hardware, significantly reduce the cost of building domain specific compilers, and aid in connecting existing compilers together.
Mehdi, Amini; River, Riddle. "MLIR Tutorial" (PDF).
"LLVM Language Reference Manual — LLVM 17.0.0git documentation". llvm.org. Retrieved 2023-07-05.
"TableGen Overview — LLVM 17.0.0git documentation". llvm.org. Retrieved 2023-07-05.

mit.edu

math.mit.edu

Govindarajan, Sanath; Moses, William S. "SyFER-MLIR: Integrating Fully Homomorphic Encryption Into the MLIR Compiler Framework" (PDF).

modular.com

docs.modular.com

"Why Mojo". docs.modular.com. Modular Inc. 2023. Retrieved 2023-08-28. MLIR's strength is its ability to build domain specific compilers, particularly for weird domains that aren't traditional CPUs and GPUs, such as AI ASICS, quantum computing systems, FPGAs, and custom silicon.

research.google

Pienaar, Jacques (2020), MLIR in TensorFlow Ecosystem, retrieved 2023-07-06

semanticscholar.org

api.semanticscholar.org

Mernik, Marjan; Heering, Jan; Sloane, Anthony M. (December 2005). "When and how to develop domain-specific languages". ACM Computing Surveys. 37 (4): 316–344. doi:10.1145/1118890.1118892. ISSN 0360-0300. S2CID 207158373.
McCaskey, Alexander; Nguyen, Thien (October 2021). "A MLIR Dialect for Quantum Assembly Languages". 2021 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE. pp. 255–264. arXiv:2101.11365. doi:10.1109/QCE52317.2021.00043. ISBN 978-1-6654-1691-7. S2CID 231718965.
Katel, Navdeep; Khandelwal, Vivek; Bondhugula, Uday (2022-03-19). "MLIR-based code generation for GPU tensor cores". Proceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction. ACM. pp. 117–128. doi:10.1145/3497776.3517770. ISBN 978-1-4503-9183-2. S2CID 247522110.
Bik, Aart; Koanantakool, Penporn; Shpeisman, Tatiana; Vasilache, Nicolas; Zheng, Bixia; Kjolstad, Fredrik (2022-12-31). "Compiler Support for Sparse Tensor Computations in MLIR". ACM Transactions on Architecture and Code Optimization. 19 (4): 1–25. arXiv:2202.04305. doi:10.1145/3544559. ISSN 1544-3566. S2CID 246680261.

worldcat.org

search.worldcat.org

Mernik, Marjan; Heering, Jan; Sloane, Anthony M. (December 2005). "When and how to develop domain-specific languages". ACM Computing Surveys. 37 (4): 316–344. doi:10.1145/1118890.1118892. ISSN 0360-0300. S2CID 207158373.
Park, Sunjae; Song, Woosung; Nam, Seunghyeon; Kim, Hyeongyu; Shin, Junbum; Lee, Juneyoung (2023-06-06). "HEaaN.MLIR: An Optimizing Compiler for Fast Ring-Based Homomorphic Encryption". Proceedings of the ACM on Programming Languages. 7 (PLDI): 196–220. doi:10.1145/3591228. ISSN 2475-1421.
Bik, Aart; Koanantakool, Penporn; Shpeisman, Tatiana; Vasilache, Nicolas; Zheng, Bixia; Kjolstad, Fredrik (2022-12-31). "Compiler Support for Sparse Tensor Computations in MLIR". ACM Transactions on Architecture and Code Optimization. 19 (4): 1–25. arXiv:2202.04305. doi:10.1145/3544559. ISSN 1544-3566. S2CID 246680261.