Chris Cummins
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
8
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CC | LLM Compiler: Foundation Language Models for Compiler Optimization. | Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozire, Jonas Gehring, Gabriel Synnaeve, Hugh Leather |
| 2025 | CC | Finding Missed Code Size Optimizations in Compilers using Large Language Models. | Davide Italiano, Chris Cummins |
| 2025 | DAC | LLMs: A Driving Force in Next Generation Digital Design Automation. | Matheus T. Moreira, Aram H. Markosyan, Chris Cummins, Warren Hunt, Gabriel Synnaeve, Edith Beign |
| 2024 | CGO | SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly. | Jordi Armengol-Estap, Jackson Woodruff, Chris Cummins, Michael F. P. O'Boyle |
| 2024 | CGO | Revealing Compiler Heuristics Through Automated Discovery and Optimization. | Volker Seeker, Chris Cummins, Murray Cole, Bjrn Franke, Kim M. Hazelwood, Hugh Leather |
| 2023 | ICML | 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 |
| 2022 | CC | 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 |
| 2022 | CC | Automating reinforcement learning architecture design for code optimization. | Huanting Wang, Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather, Zheng Wang |
| 2022 | CGO | 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 |
| 2021 | ICML | 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 |
| 2020 | CogSci | Modeling manipulative language use. | Vinicius Macuch Silva, Chris Cummins, Michael Franke |
| 2020 | FDL | Machine Learning in Compilers: Past, Present and Future. | Hugh Leather, Chris Cummins |
| 2019 | PLDI | A case study on machine learning for synthesizing benchmarks. | Andrs Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jernimo Castrilln |
| 2018 | ISSTA | Compiler fuzzing through deep learning. | Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather |
| 2017 | CGO | Synthesizing benchmarks for predictive modeling. | Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather |
| 2017 | CogSci | A model of cultural co-evolution of language and mindreading. | Marieke Woensdregt, Simon Kirby, Chris Cummins, Kenny Smith |
| 2016 | CogSci | Modelling the co-development of word learning and perspective-taking. | Marieke Woensdregt, Simon Kirby, Chris Cummins, Kenny Smith |
| 2013 | CogSci | Priming and Conceptual Pacts in Overhearers' Adoption of Referring Expressions. | Marieke Behnel, Chris Cummins, Lorenz Sichelschmidt, Jan P. de Ruiter |