Chris Cummins

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 38

Top Topics

Computational Approaches

Top Venues

Publications

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)
Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather
Priority Sampling of Large Language Models for Compilers. CoRR (2024)
Jordi Armengol-Estapé, Jackson Woodruff, Chris Cummins, Michael F. P. O'Boyle
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly. CGO (2024)
Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather
Compiler generated feedback for Large Language Models. CoRR (2024)
Volker Seeker, Chris Cummins, Murray Cole, Björn Franke, Kim M. Hazelwood, Hugh Leather
Revealing Compiler Heuristics Through Automated Discovery and Optimization. CGO (2024)
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 (2024)
Jordi Armengol-Estapé, Jackson Woodruff, Chris Cummins, Michael F. P. O'Boyle
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembler. CoRR (2023)
Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Pengtao Xie, Hugh Leather, Yuandong Tian
Learning to compile smartly for program size reduction. CoRR (2023)
Jackson Woodruff, Thomas Koehler, Alexander Brauckmann, Chris Cummins, Sam Ainsworth, Michael F. P. O'Boyle
Rewriting History: Repurposing Domain-Specific CGRAs. CoRR (2023)
Dejan Grubisic, Bram Wasti, Chris Cummins, John M. Mellor-Crummey, Aleksandar Zlateski
LoopTune: Optimizing Tensor Computations with Reinforcement Learning. CoRR (2023)
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 (2023)
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)
Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
BenchDirect: A Directed Language Model for Compiler Benchmarks. CoRR (2023)
Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
BenchPress: A Deep Active Benchmark Generator. CoRR (2022)
Huanting Wang, Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather, Zheng Wang
Automating reinforcement learning architecture design for code optimization. CC (2022)
Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
BenchPress: A Deep Active Benchmark Generator. PACT (2022)
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)
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)
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)
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 (2021)
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 (2021)
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 (2021)
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)
Benoit Steiner, Chris Cummins, Horace He, Hugh Leather
Value Learning for Throughput Optimization of Deep Learning Workloads. MLSys (2021)
Nadav Rotem, Chris Cummins
Profile Guided Optimization without Profiles: A Machine Learning Approach. CoRR (2021)
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)
Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle
Deep Data Flow Analysis. CoRR (2020)
Vinicius Macuch Silva, Chris Cummins, Michael Franke
Modeling manipulative language use. CogSci (2020)
Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis. CoRR (2020)
Hugh Leather, Chris Cummins
Machine Learning in Compilers: Past, Present and Future. FDL (2020)
Benoit Steiner, Chris Cummins, Horace He, Hugh Leather
Value Function Based Performance Optimization of Deep Learning Workloads. CoRR (2020)
Andrés Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jerónimo Castrillón
A case study on machine learning for synthesizing benchmarks. MAPL@PLDI (2019)
Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather
Compiler fuzzing through deep learning. ISSTA (2018)
Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather
End-to-End Deep Learning of Optimization Heuristics. PACT (2017)
Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather
Synthesizing benchmarks for predictive modeling. CGO (2017)
Marieke Woensdregt, Simon Kirby, Chris Cummins, Kenny Smith
A model of cultural co-evolution of language and mindreading. CogSci (2017)
Emmanuel Chemla, Chris Cummins, Raj Singh
Training and Timing Local Scalar Enrichments under Global Pragmatic Pressures. J. Semant. 34 (1) (2017)
Marieke Woensdregt, Simon Kirby, Chris Cummins, Kenny Smith
Modelling the co-development of word learning and perspective-taking. CogSci (2016)
Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather
Autotuning OpenCL Workgroup Size for Stencil Patterns. CoRR (2015)
Chris Cummins, Jan P. de Ruiter
Teaching and Learning Guide for Computational Approaches to the Pragmatics Problem. Lang. Linguistics Compass 9 (8) (2015)
Chris Cummins, Jan P. de Ruiter
Computational Approaches to the Pragmatics Problem. Lang. Linguistics Compass 8 (4) (2014)
Marieke Behnel, Chris Cummins, Lorenz Sichelschmidt, Jan P. de Ruiter
Priming and Conceptual Pacts in Overhearers' Adoption of Referring Expressions. CogSci (2013)
Chris Cummins
A Speaker-Referring OT Pragmatics of Quantity Expressions. CSLP (2012)
Chris Cummins, Napoleon Katsos
Comparative and Superlative Quantifiers: Pragmatic Effects of Comparison Type. J. Semant. 27 (3) (2010)
Napoleon Katsos, Chris Cummins
Pragmatics: From Theory to Experiment and Back Again. Lang. Linguistics Compass 4 (5) (2010)
Napoleon Katsos, Chris Cummins
Teaching and Learning Guide for: Pragmatics: From Theory to Experiment and Back Again. Lang. Linguistics Compass 4 (10) (2010)
Chris Cummins
Congruence Subgroups of Groups Commensurable with PSL (2, Z) of Genus 0 and 1. Exp. Math. 13 (3) (2004)
Imin Chen, Chris Cummins
representations. Math. Comput. 73 (246) (2004)
Chris Cummins, Sebastian Pauli
Congruence Subgroups of PSL(2, Z) of Genus Less than or Equal to 24. Exp. Math. 12 (2) (2003)