Chris Cummins

Orcid: 0000-0001-8708-4515

According to our database1, Chris Cummins authored at least 45 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs.
CoRR, 2024

Meta Large Language Model Compiler: Foundation Models of Compiler Optimization.
CoRR, 2024

Compiler generated feedback for Large Language Models.
CoRR, 2024

Priority Sampling of Large Language Models for Compilers.
CoRR, 2024

Priority Sampling of Large Language Models for Compilers.
Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

Revealing Compiler Heuristics Through Automated Discovery and Optimization.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023
Rewriting History: Repurposing Domain-Specific CGRAs.
CoRR, 2023

Large Language Models for Compiler Optimization.
CoRR, 2023

LoopTune: Optimizing Tensor Computations with Reinforcement Learning.
CoRR, 2023

SLaDe: A Portable Small Language Model Decompiler for Optimized Assembler.
CoRR, 2023

BenchDirect: A Directed Language Model for Compiler Benchmarks.
CoRR, 2023

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction.
Proceedings of the International Conference on Machine Learning, 2023

2022
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

Automating reinforcement learning architecture design for code optimization.
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.
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.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021
Profile Guided Optimization without Profiles: A Machine Learning Approach.
CoRR, 2021

Learning Space Partitions for Path Planning.
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.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Deep Data Flow Analysis.
CoRR, 2020

Value Function Based Performance Optimization of Deep Learning Workloads.
CoRR, 2020

ProGraML: Graph-based Deep Learning for Program Optimization and Analysis.
CoRR, 2020

Machine Learning in Compilers: Past, Present and Future.
Proceedings of the Forum for Specification and Design Languages, 2020

Modeling manipulative language use.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
A case study on machine learning for synthesizing benchmarks.
Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2019

2018
Compiler fuzzing through deep learning.
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.
J. Semant., 2017

A model of cultural co-evolution of language and mindreading.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Synthesizing benchmarks for predictive modeling.
Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017

End-to-End Deep Learning of Optimization Heuristics.
Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016
Modelling the co-development of word learning and perspective-taking.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Teaching and Learning Guide for Computational Approaches to the Pragmatics Problem.
Lang. Linguistics Compass, 2015

Autotuning OpenCL Workgroup Size for Stencil Patterns.
CoRR, 2015

2014
Computational Approaches to the Pragmatics Problem.
Lang. Linguistics Compass, 2014

2013
Priming and Conceptual Pacts in Overhearers' Adoption of Referring Expressions.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
A Speaker-Referring OT Pragmatics of Quantity Expressions.
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.
Lang. Linguistics Compass, 2010

Pragmatics: From Theory to Experiment and Back Again.
Lang. Linguistics Compass, 2010

Comparative and Superlative Quantifiers: Pragmatic Effects of Comparison Type.
J. Semant., 2010

2004
Elliptic curves with nonsplit mod <sup>11</sup> representations.
Math. Comput., 2004

Congruence Subgroups of Groups Commensurable with PSL (2, Z) of Genus 0 and 1.
Exp. Math., 2004

2003
Congruence Subgroups of PSL(2, Z) of Genus Less than or Equal to 24.
Exp. Math., 2003


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