Hugh Leather
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
13
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CC | DFA-Net: A Compiler-Specific Neural Architecture for Robust Generalization in Data Flow Analyses. | Alexander Brauckmann, Anderson Faustino da Silva, Gabriel Synnaeve, Michael F. P. O'Boyle, Jernimo Castrilln, Hugh Leather |
| 2025 | CC | LLM Compiler: Foundation Language Models for Compiler Optimization. | Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozire, Jonas Gehring, Gabriel Synnaeve, Hugh Leather |
| 2024 | CGO | Revealing Compiler Heuristics Through Automated Discovery and Optimization. | Volker Seeker, Chris Cummins, Murray Cole, Bjrn Franke, Kim M. Hazelwood, Hugh Leather |
| 2024 | CVPR | Sieve: Multimodal Dataset Pruning Using Image Captioning Models. | Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari S. Morcos |
| 2023 | ICLR | Code Translation with Compiler Representations. | Marc Szafraniec, Baptiste Rozire, Hugh Leather, Patrick Labatut, Franois Charton, Gabriel Synnaeve |
| 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 |
| 2022 | CGO | F3M: Fast Focused Function Merging. | Sean Stirling, Rodrigo C. O. Rocha, Kim M. Hazelwood, Hugh Leather, Michael F. P. O'Boyle, Pavlos Petoumenos |
| 2022 | PLDI | A graph neural network-based performance model for deep learning applications. | Shikhar Singh, James Hegarty, Hugh Leather, Benoit Steiner |
| 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 |
| 2021 | PLDI | Developer and user-transparent compiler optimization for interactive applications. | Paschalis Mpeis, Pavlos Petoumenos, Kim M. Hazelwood, Hugh Leather |
| 2020 | CC | Vectorization-aware loop unrolling with seed forwarding. | Rodrigo C. O. Rocha, Vasileios Porpodas, Pavlos Petoumenos, Lus F. W. Ges, Zheng Wang, Murray Cole, Hugh Leather |
| 2020 | CGO | COLAB: a collaborative multi-factor scheduler for asymmetric multicore processors. | Teng Yu, Pavlos Petoumenos, Vladimir Janjic, Hugh Leather, John Thomson |
| 2020 | FDL | Machine Learning in Compilers: Past, Present and Future. | Hugh Leather, Chris Cummins |
| 2020 | PLDI | Effective function merging in the SSA form. | Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Hugh Leather |
| 2019 | CGO | Function Merging by Sequence Alignment. | Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Hugh Leather |
| 2019 | PLDI | A case study on machine learning for synthesizing benchmarks. | Andrs Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jernimo Castrilln |
| 2018 | ICDCS | Right-Sizing Server Capacity Headroom for Global Online Services. | Chad Verbowski, Ed Thayer, Paolo Costa, Hugh Leather, Bjrn Franke |
| 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 | CGO | Minimizing the cost of iterative compilation with active learning. | William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather |
| 2015 | ICPADS | Power Capping: What Works, What Does Not. | Pavlos Petoumenos, Lev Mukhanov, Zheng Wang, Hugh Leather, Dimitrios S. Nikolopoulos |
| 2015 | VEE | Application of Domain-aware Binary Fuzzing to Aid Android Virtual Machine Testing. | Stephen C. Kyle, Hugh Leather, Bjrn Franke, Dave Butcher, Stuart Monteith |
| 2013 | HiPC | MaSiF: Machine learning guided auto-tuning of parallel skeletons. | Alexander Collins, Christian Fensch, Hugh Leather, Murray Cole |
| 2009 | CGO | Automatic Feature Generation for Machine Learning Based Optimizing Compilation. | Hugh Leather, Edwin V. Bonilla, Michael F. P. O'Boyle |
| 2007 | LCN | Emergency Evacuation using Wireless Sensor Networks. | Matthew Barnes, Hugh Leather, D. K. Arvind |