Chris Cummins

According to our database, Chris Cummins authored at least 44 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Meta Large Language Model Compiler: Foundation Models of Compiler Optimization.

Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozière, Jonas Gehring, Gabriel Synnaeve, Hugh Leather

CoRR, 2024

Compiler generated feedback for Large Language Models.

Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather

CoRR, 2024

Priority Sampling of Large Language Models for Compilers.

Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather

CoRR, 2024

Priority Sampling of Large Language Models for Compilers.

Dejan Grubisic, Volker Seeker, Gabriel Synnaeve, Hugh Leather, John M. Mellor-Crummey, Chris Cummins

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

Revealing Compiler Heuristics Through Automated Discovery and Optimization.

Volker Seeker, Chris Cummins, Murray Cole, Björn Franke, Kim M. Hazelwood, Hugh Leather

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly.

Jordi Armengol-Estapé, Jackson Woodruff, Chris Cummins, Michael F. P. O'Boyle

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023

Rewriting History: Repurposing Domain-Specific CGRAs.

Jackson Woodruff, Thomas Koehler, Alexander Brauckmann, Chris Cummins, Sam Ainsworth, Michael F. P. O'Boyle

CoRR, 2023

Large Language Models for Compiler Optimization.

Chris Cummins, Volker Seeker, Dejan Grubisic, Mostafa Elhoushi, Youwei Liang, Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Kim M. Hazelwood, Gabriel Synnaeve, Hugh Leather

CoRR, 2023

LoopTune: Optimizing Tensor Computations with Reinforcement Learning.

Dejan Grubisic, Bram Wasti, Chris Cummins, John M. Mellor-Crummey, Aleksandar Zlateski

CoRR, 2023

SLaDe: A Portable Small Language Model Decompiler for Optimized Assembler.

Jordi Armengol-Estapé, Jackson Woodruff, Chris Cummins, Michael F. P. O'Boyle

CoRR, 2023

BenchDirect: A Directed Language Model for Compiler Benchmarks.

Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather

CoRR, 2023

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction.

Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian

Proceedings of the International Conference on Machine Learning, 2023

2022

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research.

Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

Automating reinforcement learning architecture design for code optimization.

Huanting Wang, Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather, Zheng Wang

Proceedings of the CC '22: 31st ACM SIGPLAN International Conference on Compiler Construction, Seoul, South Korea, April 2, 2022

Caviar: an e-graph based TRS for automatic code optimization.

Smail Kourta, Adel Abderahmane Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi

Proceedings of the CC '22: 31st ACM SIGPLAN International Conference on Compiler Construction, Seoul, South Korea, April 2, 2022

BenchPress: A Deep Active Benchmark Generator.

Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition.

Cheng Fu, Hanxian Huang, Bram Wasti, Chris Cummins, Riyadh Baghdadi, Kim M. Hazelwood, Yuandong Tian, Jishen Zhao, Hugh Leather

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Profile Guided Optimization without Profiles: A Machine Learning Approach.

Nadav Rotem, Chris Cummins

CoRR, 2021

Learning Space Partitions for Path Planning.

Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Value Learning for Throughput Optimization of Deep Learning Workloads.

Benoit Steiner, Chris Cummins, Horace He, Hugh Leather

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations.

Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle, Hugh Leather

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Deep Data Flow Analysis.

Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle

CoRR, 2020

Value Function Based Performance Optimization of Deep Learning Workloads.

Benoit Steiner, Chris Cummins, Horace He, Hugh Leather

CoRR, 2020

ProGraML: Graph-based Deep Learning for Program Optimization and Analysis.

Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather

CoRR, 2020

Machine Learning in Compilers: Past, Present and Future.

Hugh Leather, Chris Cummins

Proceedings of the Forum for Specification and Design Languages, 2020

Modeling manipulative language use.

Vinicius Macuch Silva, Chris Cummins, Michael Franke

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

A case study on machine learning for synthesizing benchmarks.

Andrés Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jerónimo Castrillón

Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2019

2018

Compiler fuzzing through deep learning.

Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather

Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2018

2017

Training and Timing Local Scalar Enrichments under Global Pragmatic Pressures.

Emmanuel Chemla, Chris Cummins, Raj Singh

J. Semant., 2017

A model of cultural co-evolution of language and mindreading.

Marieke Woensdregt, Simon Kirby, Chris Cummins, Kenny Smith

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Synthesizing benchmarks for predictive modeling.

Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather

Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017

End-to-End Deep Learning of Optimization Heuristics.

Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather

Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016

Modelling the co-development of word learning and perspective-taking.

Marieke Woensdregt, Simon Kirby, Chris Cummins, Kenny Smith

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Teaching and Learning Guide for Computational Approaches to the Pragmatics Problem.

Chris Cummins, Jan P. de Ruiter

Lang. Linguistics Compass, 2015

Autotuning OpenCL Workgroup Size for Stencil Patterns.

Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather

CoRR, 2015

2014

Computational Approaches to the Pragmatics Problem.

Chris Cummins, Jan P. de Ruiter

Lang. Linguistics Compass, 2014

2013

Priming and Conceptual Pacts in Overhearers' Adoption of Referring Expressions.

Marieke Behnel, Chris Cummins, Lorenz Sichelschmidt, Jan P. de Ruiter

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

A Speaker-Referring OT Pragmatics of Quantity Expressions.

Chris Cummins

Proceedings of the Constraint Solving and Language Processing - 7th International Workshop, 2012

2010

Teaching and Learning Guide for: Pragmatics: From Theory to Experiment and Back Again.

Napoleon Katsos, Chris Cummins

Lang. Linguistics Compass, 2010

Pragmatics: From Theory to Experiment and Back Again.

Napoleon Katsos, Chris Cummins

Lang. Linguistics Compass, 2010

Comparative and Superlative Quantifiers: Pragmatic Effects of Comparison Type.

Chris Cummins, Napoleon Katsos

J. Semant., 2010

2004

Elliptic curves with nonsplit mod ¹¹ representations.

Imin Chen, Chris Cummins

Math. Comput., 2004

Congruence Subgroups of Groups Commensurable with PSL (2, Z) of Genus 0 and 1.

Chris Cummins

Exp. Math., 2004

2003

Congruence Subgroups of PSL(2, Z) of Genus Less than or Equal to 24.

Chris Cummins, Sebastian Pauli

Exp. Math., 2003