Chris Cummins

56 papers A* 4A 5B 11C 1Journal 31Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
CWM: An Open-Weights LLM for Research on Code Generation with World Models.
CoRR
FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram H. Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter W. O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve
2025 J jnl
Finding Missed Code Size Optimizations in Compilers using LLMs.
CoRR
Davide Italiano, Chris Cummins
2025 B conf
Finding Missed Code Size Optimizations in Compilers using Large Language Models.
CC
Davide Italiano, Chris Cummins
2025 B conf
LLM Compiler: Foundation Language Models for Compiler Optimization.
CC
Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozière, Jonas Gehring, Gabriel Synnaeve, Hugh Leather
2025 A* conf
LLMs: A Driving Force in Next Generation Digital Design Automation.
DAC
Matheus T. Moreira, Aram H. Markosyan, Chris Cummins, Warren Hunt, Gabriel Synnaeve, Edith Beigné
2025 J jnl
What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces.
CoRR
Jordi Armengol-Estapé, Quentin Carbonneaux, Tianjun Zhang, Aram H. Markosyan, Volker Seeker, Chris Cummins, Melanie Kambadur, Michael F. P. O'Boyle, Sida I. Wang, Gabriel Synnaeve, Hugh James Leather
2024 J jnl
Compiler generated feedback for Large Language Models.
CoRR
Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather
2024 J jnl
Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs.
CoRR
Chris Cummins, Volker Seeker, Jordi Armengol-Estapé, Aram H. Markosyan, Gabriel Synnaeve, Hugh Leather
2024 J jnl
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization.
CoRR
Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozière, Jonas Gehring, Gabriel Synnaeve, Hugh Leather
2024 — conf
Priority Sampling of Large Language Models for Compilers.
EuroMLSys@EuroSys
Dejan Grubisic, Volker Seeker, Gabriel Synnaeve, Hugh Leather, John M. Mellor-Crummey, Chris Cummins
2024 J jnl
Priority Sampling of Large Language Models for Compilers.
CoRR
Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather
2024 A conf
Revealing Compiler Heuristics Through Automated Discovery and Optimization.
CGO
Volker Seeker, Chris Cummins, Murray Cole, Björn Franke, Kim M. Hazelwood, Hugh Leather
2024 A conf
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly.
CGO
Jordi Armengol-Estapé, Jackson Woodruff, Chris Cummins, Michael F. P. O'Boyle
2023 J jnl
BenchDirect: A Directed Language Model for Compiler Benchmarks.
CoRR
Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
2023 J jnl
Large Language Models for Compiler Optimization.
CoRR
Chris Cummins, Volker Seeker, Dejan Grubisic, Mostafa Elhoushi, Youwei Liang, Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Kim M. Hazelwood, Gabriel Synnaeve, Hugh Leather
2023 A* conf
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction.
ICML
Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian
2023 J jnl
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction.
CoRR
Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian
2023 J jnl
LoopTune: Optimizing Tensor Computations with Reinforcement Learning.
CoRR
Dejan Grubisic, Bram Wasti, Chris Cummins, John M. Mellor-Crummey, Aleksandar Zlateski
2023 J jnl
Rewriting History: Repurposing Domain-Specific CGRAs.
CoRR
Jackson Woodruff, Thomas Koehler, Alexander Brauckmann, Chris Cummins, Sam Ainsworth, Michael F. P. O'Boyle
2023 J jnl
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembler.
CoRR
Jordi Armengol-Estapé, Jackson Woodruff, Chris Cummins, Michael F. P. O'Boyle
2022 B conf
Automating reinforcement learning architecture design for code optimization.
CC
Huanting Wang, Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather, Zheng Wang
2022 B conf
BenchPress: A Deep Active Benchmark Generator.
PACT
Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
2022 J jnl
BenchPress: A Deep Active Benchmark Generator.
CoRR
Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
2022 B conf
Caviar: an e-graph based TRS for automatic code optimization.
CC
Smail Kourta, Adel Abderahmane Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi
2022 A conf
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research.
CGO
Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather
2022 B conf
Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition.
PACT
Cheng Fu, Hanxian Huang, Bram Wasti, Chris Cummins, Riyadh Baghdadi, Kim M. Hazelwood, Yuandong Tian, Jishen Zhao, Hugh Leather
2021 J jnl
Caviar: An E-graph Based TRS for Automatic Code Optimization.
CoRR
Smail Kourta, Adel Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi
2021 J jnl
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research.
CoRR
Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather
2021 A* conf
Learning Space Partitions for Path Planning.
NeurIPS
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
2021 J jnl
Learning Space Partitions for Path Planning.
CoRR
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
2021 A* conf
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations.
ICML
Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle, Hugh Leather
2021 J jnl
Profile Guided Optimization without Profiles: A Machine Learning Approach.
CoRR
Nadav Rotem, Chris Cummins
2021 — conf
Value Learning for Throughput Optimization of Deep Learning Workloads.
MLSys
Benoit Steiner, Chris Cummins, Horace He, Hugh Leather
2020 J jnl
Deep Data Flow Analysis.
CoRR
Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle
2020 C conf
Machine Learning in Compilers: Past, Present and Future.
FDL
Hugh Leather, Chris Cummins
2020 B conf
Modeling manipulative language use.
CogSci
Vinicius Macuch Silva, Chris Cummins, Michael Franke
2020 J jnl
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis.
CoRR
Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather
2020 J jnl
Value Function Based Performance Optimization of Deep Learning Workloads.
CoRR
Benoit Steiner, Chris Cummins, Horace He, Hugh Leather
2019 — conf
A case study on machine learning for synthesizing benchmarks.
MAPL@PLDI
Andrés Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jerónimo Castrillón
2018 A conf
Compiler fuzzing through deep learning.
ISSTA
Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather
2017 B conf
A model of cultural co-evolution of language and mindreading.
CogSci
Marieke Woensdregt, Simon Kirby, Chris Cummins, Kenny Smith
2017 B conf
End-to-End Deep Learning of Optimization Heuristics.
PACT
Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather
2017 A conf
Synthesizing benchmarks for predictive modeling.
CGO
Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather
2017 J jnl
Training and Timing Local Scalar Enrichments under Global Pragmatic Pressures.
J. Semant.
Emmanuel Chemla, Chris Cummins, Raj Singh
2016 B conf
Modelling the co-development of word learning and perspective-taking.
CogSci
Marieke Woensdregt, Simon Kirby, Chris Cummins, Kenny Smith
2015 J jnl
Autotuning OpenCL Workgroup Size for Stencil Patterns.
CoRR
Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather
2015 J jnl
Teaching and Learning Guide for Computational Approaches to the Pragmatics Problem.
Lang. Linguistics Compass
Chris Cummins, Jan P. de Ruiter
2014 J jnl
Computational Approaches to the Pragmatics Problem.
Lang. Linguistics Compass
Chris Cummins, Jan P. de Ruiter
2013 B conf
Priming and Conceptual Pacts in Overhearers' Adoption of Referring Expressions.
CogSci
Marieke Behnel, Chris Cummins, Lorenz Sichelschmidt, Jan P. de Ruiter
2012 — conf
A Speaker-Referring OT Pragmatics of Quantity Expressions.
CSLP
Chris Cummins
2010 J jnl
Comparative and Superlative Quantifiers: Pragmatic Effects of Comparison Type.
J. Semant.
Chris Cummins, Napoleon Katsos
2010 J jnl
Pragmatics: From Theory to Experiment and Back Again.
Lang. Linguistics Compass
Napoleon Katsos, Chris Cummins
2010 J jnl
Teaching and Learning Guide for: Pragmatics: From Theory to Experiment and Back Again.
Lang. Linguistics Compass
Napoleon Katsos, Chris Cummins
2004 J jnl
Congruence Subgroups of Groups Commensurable with PSL (2, Z) of Genus 0 and 1.
Exp. Math.
Chris Cummins
2004 J jnl
Elliptic curves with nonsplit mod
Math. Comput.
Imin Chen, Chris Cummins
2003 J jnl
Congruence Subgroups of PSL(2, Z) of Genus Less than or Equal to 24.
Exp. Math.
Chris Cummins, Sebastian Pauli