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Chris Cummins
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2020 – today
- 2024
- [c22]Volker Seeker, Chris Cummins, Murray Cole, Björn Franke, Kim M. Hazelwood, Hugh Leather:
Revealing Compiler Heuristics Through Automated Discovery and Optimization. CGO 2024: 55-66 - [c21]Jordi Armengol-Estapé, Jackson Woodruff, Chris Cummins, Michael F. P. O'Boyle:
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly. CGO 2024: 67-80 - [c20]Dejan Grubisic, Volker Seeker, Gabriel Synnaeve, Hugh Leather, John M. Mellor-Crummey, Chris Cummins:
Priority Sampling of Large Language Models for Compilers. EuroMLSys@EuroSys 2024: 91-97 - [i18]Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather:
Priority Sampling of Large Language Models for Compilers. CoRR abs/2402.18734 (2024) - [i17]Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather:
Compiler generated feedback for Large Language Models. CoRR abs/2403.14714 (2024) - [i16]Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozière, Jonas Gehring, Gabriel Synnaeve, Hugh Leather:
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization. CoRR abs/2407.02524 (2024) - 2023
- [c19]Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian:
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. ICML 2023: 20746-20762 - [i15]Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian:
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. CoRR abs/2301.05104 (2023) - [i14]Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchDirect: A Directed Language Model for Compiler Benchmarks. CoRR abs/2303.01557 (2023) - [i13]Jordi Armengol-Estapé, Jackson Woodruff, Chris Cummins, Michael F. P. O'Boyle:
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembler. CoRR abs/2305.12520 (2023) - [i12]Dejan Grubisic, Bram Wasti, Chris Cummins, John M. Mellor-Crummey, Aleksandar Zlateski:
LoopTune: Optimizing Tensor Computations with Reinforcement Learning. CoRR abs/2309.01825 (2023) - [i11]Chris Cummins, Volker Seeker, Dejan Grubisic, Mostafa Elhoushi, Youwei Liang, Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Kim M. Hazelwood, Gabriel Synnaeve, Hugh Leather:
Large Language Models for Compiler Optimization. CoRR abs/2309.07062 (2023) - [i10]Jackson Woodruff, Thomas Koehler, Alexander Brauckmann, Chris Cummins, Sam Ainsworth, Michael F. P. O'Boyle:
Rewriting History: Repurposing Domain-Specific CGRAs. CoRR abs/2309.09112 (2023) - 2022
- [c18]Cheng Fu, Hanxian Huang, Bram Wasti, Chris Cummins, Riyadh Baghdadi, Kim M. Hazelwood, Yuandong Tian, Jishen Zhao, Hugh Leather:
Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition. PACT 2022: 291-303 - [c17]Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchPress: A Deep Active Benchmark Generator. PACT 2022: 505-516 - [c16]Smail Kourta, Adel Abderahmane Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi:
Caviar: an e-graph based TRS for automatic code optimization. CC 2022: 54-64 - [c15]Huanting Wang, Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather, Zheng Wang:
Automating reinforcement learning architecture design for code optimization. CC 2022: 129-143 - [c14]Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather:
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CGO 2022: 92-105 - [i9]Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchPress: A Deep Active Benchmark Generator. CoRR abs/2208.06555 (2022) - 2021
- [c13]Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle, Hugh Leather:
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations. ICML 2021: 2244-2253 - [c12]Benoit Steiner, Chris Cummins, Horace He, Hugh Leather:
Value Learning for Throughput Optimization of Deep Learning Workloads. MLSys 2021 - [c11]Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian:
Learning Space Partitions for Path Planning. NeurIPS 2021: 378-391 - [i8]Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian:
Learning Space Partitions for Path Planning. CoRR abs/2106.10544 (2021) - [i7]Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather:
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CoRR abs/2109.08267 (2021) - [i6]Smail Kourta, Adel Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi:
Caviar: An E-graph Based TRS for Automatic Code Optimization. CoRR abs/2111.12116 (2021) - [i5]Nadav Rotem, Chris Cummins:
Profile Guided Optimization without Profiles: A Machine Learning Approach. CoRR abs/2112.14679 (2021) - 2020
- [c10]Vinicius Macuch Silva, Chris Cummins, Michael Franke:
Modeling manipulative language use. CogSci 2020 - [c9]Hugh Leather, Chris Cummins:
Machine Learning in Compilers: Past, Present and Future. FDL 2020: 1-8 - [i4]Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather:
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis. CoRR abs/2003.10536 (2020) - [i3]Benoit Steiner, Chris Cummins, Horace He, Hugh Leather:
Value Function Based Performance Optimization of Deep Learning Workloads. CoRR abs/2011.14486 (2020) - [i2]Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle:
Deep Data Flow Analysis. CoRR abs/2012.01470 (2020)
2010 – 2019
- 2019
- [c8]Andrés Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jerónimo Castrillón:
A case study on machine learning for synthesizing benchmarks. MAPL@PLDI 2019: 38-46 - 2018
- [c7]Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather:
Compiler fuzzing through deep learning. ISSTA 2018: 95-105 - 2017
- [j9]Emmanuel Chemla, Chris Cummins, Raj Singh:
Training and Timing Local Scalar Enrichments under Global Pragmatic Pressures. J. Semant. 34(1): 107-126 (2017) - [c6]Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather:
End-to-End Deep Learning of Optimization Heuristics. PACT 2017: 219-232 - [c5]Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather:
Synthesizing benchmarks for predictive modeling. CGO 2017: 86-99 - [c4]Marieke Woensdregt, Simon Kirby, Chris Cummins, Kenny Smith:
A model of cultural co-evolution of language and mindreading. CogSci 2017 - 2016
- [c3]Marieke Woensdregt, Simon Kirby, Chris Cummins, Kenny Smith:
Modelling the co-development of word learning and perspective-taking. CogSci 2016 - 2015
- [j8]Chris Cummins, Jan P. de Ruiter:
Teaching and Learning Guide for Computational Approaches to the Pragmatics Problem. Lang. Linguistics Compass 9(8): 328-331 (2015) - [i1]Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather:
Autotuning OpenCL Workgroup Size for Stencil Patterns. CoRR abs/1511.02490 (2015) - 2014
- [j7]Chris Cummins, Jan P. de Ruiter:
Computational Approaches to the Pragmatics Problem. Lang. Linguistics Compass 8(4): 133-143 (2014) - 2013
- [c2]Marieke Behnel, Chris Cummins, Lorenz Sichelschmidt, Jan P. de Ruiter:
Priming and Conceptual Pacts in Overhearers' Adoption of Referring Expressions. CogSci 2013 - 2012
- [c1]Chris Cummins:
A Speaker-Referring OT Pragmatics of Quantity Expressions. CSLP 2012: 52-69 - 2010
- [j6]Chris Cummins, Napoleon Katsos:
Comparative and Superlative Quantifiers: Pragmatic Effects of Comparison Type. J. Semant. 27(3): 271-305 (2010) - [j5]Napoleon Katsos, Chris Cummins:
Pragmatics: From Theory to Experiment and Back Again. Lang. Linguistics Compass 4(5): 282-295 (2010) - [j4]Napoleon Katsos, Chris Cummins:
Teaching and Learning Guide for: Pragmatics: From Theory to Experiment and Back Again. Lang. Linguistics Compass 4(10): 1056-1062 (2010)
2000 – 2009
- 2004
- [j3]Chris Cummins:
Congruence Subgroups of Groups Commensurable with PSL (2, Z) of Genus 0 and 1. Exp. Math. 13(3): 361-382 (2004) - [j2]Imin Chen, Chris Cummins:
Elliptic curves with nonsplit mod 11 representations. Math. Comput. 73(246): 869-880 (2004) - 2003
- [j1]Chris Cummins, Sebastian Pauli:
Congruence Subgroups of PSL(2, Z) of Genus Less than or Equal to 24. Exp. Math. 12(2): 243-255 (2003)
Coauthor Index
aka: Hugh James Leather
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last updated on 2024-08-10 01:27 CEST by the dblp team
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