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2020 – today
- 2024
[c44]Volker Seeker, Chris Cummins, Murray Cole, Björn Franke, Kim M. Hazelwood, Hugh Leather:
Revealing Compiler Heuristics Through Automated Discovery and Optimization. CGO 2024: 55-66- [c43]Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari S. Morcos:
Sieve: Multimodal Dataset Pruning Using Image Captioning Models. CVPR 2024: 22423-22432 - [c42]Dejan Grubisic
, Volker Seeker, Gabriel Synnaeve, Hugh Leather, John M. Mellor-Crummey, Chris Cummins:
Priority Sampling of Large Language Models for Compilers. EuroMLSys@EuroSys 2024: 91-97 - [c41]Alex Gu, Baptiste Rozière, Hugh James Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida Wang:
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. ICML 2024 - [i22]Alex Gu, Baptiste Rozière, Hugh Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida I. Wang:
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. CoRR abs/2401.03065 (2024) - [i21]Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather:
Priority Sampling of Large Language Models for Compilers. CoRR abs/2402.18734 (2024) - [i20]Massinissa Merouani, Khaled Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Islem Kara Bernou, Hamza Benyamina, Fatima Benbouzid-Si Tayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi:
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers. CoRR abs/2403.11522 (2024) - [i19]Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather:
Compiler generated feedback for Large Language Models. CoRR abs/2403.14714 (2024) - [i18]Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozière, Jonas Gehring, Gabriel Synnaeve, Hugh Leather:
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization. CoRR abs/2407.02524 (2024) - 2023
- [c40]Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve:
Code Translation with Compiler Representations. ICLR 2023 - [c39]Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian:
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. ICML 2023: 20746-20762 - [c38]Dadallage A. R. Silva, Spencer Whitehead, Christopher T. Lengerich, Hugh Leather:
CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning. NeurIPS 2023 - [i17]Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian:
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. CoRR abs/2301.05104 (2023) - [i16]Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchDirect: A Directed Language Model for Compiler Benchmarks. CoRR abs/2303.01557 (2023) - [i15]Chris Cummins, Volker Seeker, Dejan Grubisic, Mostafa Elhoushi, Youwei Liang, Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Kim M. Hazelwood, Gabriel Synnaeve, Hugh Leather:
Large Language Models for Compiler Optimization. CoRR abs/2309.07062 (2023) - [i14]Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari Morcos:
SIEVE: Multimodal Dataset Pruning Using Image Captioning Models. CoRR abs/2310.02110 (2023) - 2022
- [j5]Paschalis Mpeis, Pavlos Petoumenos, Kim M. Hazelwood, Hugh Leather:
Object Intersection Captures on Interactive Apps to Drive a Crowd-sourced Replay-based Compiler Optimization. ACM Trans. Archit. Code Optim. 19(3): 32:1-32:25 (2022) - [c37]Cheng Fu, Hanxian Huang, Bram Wasti, Chris Cummins, Riyadh Baghdadi, Kim M. Hazelwood, Yuandong Tian, Jishen Zhao, Hugh Leather:
Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition. PACT 2022: 291-303 - [c36]Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchPress: A Deep Active Benchmark Generator. PACT 2022: 505-516 - [c35]Smail Kourta, Adel Abderahmane Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi:
Caviar: an e-graph based TRS for automatic code optimization. CC 2022: 54-64 - [c34]Huanting Wang, Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather, Zheng Wang:
Automating reinforcement learning architecture design for code optimization. CC 2022: 129-143 - [c33]Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather:
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CGO 2022: 92-105 - [c32]Sean Stirling, Rodrigo C. O. Rocha, Kim M. Hazelwood, Hugh Leather, Michael F. P. O'Boyle, Pavlos Petoumenos:
F3M: Fast Focused Function Merging. CGO 2022: 242-253 - [c31]Shikhar Singh, James Hegarty, Hugh Leather, Benoit Steiner:
A graph neural network-based performance model for deep learning applications. MAPS@PLDI 2022: 11-20 - [i13]Bram Wasti, José Pablo Cambronero, Benoit Steiner, Hugh Leather, Aleksandar Zlateski:
LoopStack: a Lightweight Tensor Algebra Compiler Stack. CoRR abs/2205.00618 (2022) - [i12]Massinissa Merouani, Khaled Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Fatima Benbouzid-Sitayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi:
Progress Report: A Deep Learning Guided Exploration of Affine Unimodular Loop Transformations. CoRR abs/2206.03684 (2022) - [i11]Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve:
Code Translation with Compiler Representations. CoRR abs/2207.03578 (2022) - [i10]Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchPress: A Deep Active Benchmark Generator. CoRR abs/2208.06555 (2022) - [i9]Chris Lengerich, Gabriel Synnaeve, Amy Zhang, Hugh Leather, Kurt Shuster, François Charton, Charysse Redwood:
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning. CoRR abs/2212.11353 (2022) - 2021
- [j4]Teng Yu, Runxin Zhong, Vladimir Janjic, Pavlos Petoumenos, Jidong Zhai, Hugh Leather, John Thomson:
Collaborative Heterogeneity-Aware OS Scheduler for Asymmetric Multicore Processors. IEEE Trans. Parallel Distributed Syst. 32(5): 1224-1237 (2021) - [c30]Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle, Hugh Leather:
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations. ICML 2021: 2244-2253 - [c29]Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Kim M. Hazelwood, Hugh Leather:
HyFM: function merging for free. LCTES 2021: 110-121 - [c28]Benoit Steiner, Chris Cummins, Horace He, Hugh Leather:
Value Learning for Throughput Optimization of Deep Learning Workloads. MLSys 2021 - [c27]Paschalis Mpeis, Pavlos Petoumenos, Kim M. Hazelwood, Hugh Leather:
Developer and user-transparent compiler optimization for interactive applications. PLDI 2021: 268-281 - [i8]Shikhar Singh, Benoit Steiner, James Hegarty, Hugh Leather:
Using Graph Neural Networks to model the performance of Deep Neural Networks. CoRR abs/2108.12489 (2021) - [i7]Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather:
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CoRR abs/2109.08267 (2021) - [i6]Smail Kourta, Adel Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi:
Caviar: An E-graph Based TRS for Automatic Code Optimization. CoRR abs/2111.12116 (2021) - 2020
- [c26]Rodrigo C. O. Rocha, Vasileios Porpodas, Pavlos Petoumenos, Luís F. W. Góes, Zheng Wang, Murray Cole, Hugh Leather:
Vectorization-aware loop unrolling with seed forwarding. CC 2020: 1-13 - [c25]Teng Yu, Pavlos Petoumenos, Vladimir Janjic, Hugh Leather, John Thomson:
COLAB: a collaborative multi-factor scheduler for asymmetric multicore processors. CGO 2020: 268-279 - [c24]Hugh Leather, Chris Cummins:
Machine Learning in Compilers: Past, Present and Future. FDL 2020: 1-8 - [c23]Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Hugh Leather:
Effective function merging in the SSA form. PLDI 2020: 854-868 - [i5]Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather:
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis. CoRR abs/2003.10536 (2020) - [i4]Benoit Steiner, Chris Cummins, Horace He, Hugh Leather:
Value Function Based Performance Optimization of Deep Learning Workloads. CoRR abs/2011.14486 (2020) - [i3]Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle:
Deep Data Flow Analysis. CoRR abs/2012.01470 (2020)
2010 – 2019
- 2019
- [c22]Teng Yu, Pavlos Petoumenos, Vladimir Janjic, Mingcan Zhu, Hugh Leather, John Thomson:
POSTER: A Collaborative Multi-Factor Scheduler for Asymmetric Multicore Processors. PACT 2019: 487-488 - [c21]Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Hugh Leather:
Function Merging by Sequence Alignment. CGO 2019: 149-163 - [c20]Andrés Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jerónimo Castrillón:
A case study on machine learning for synthesizing benchmarks. MAPL@PLDI 2019: 38-46 - 2018
- [c19]Chad Verbowski, Ed Thayer, Paolo Costa, Hugh Leather, Björn Franke:
Right-Sizing Server Capacity Headroom for Global Online Services. ICDCS 2018: 645-659 - [c18]Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather:
Compiler fuzzing through deep learning. ISSTA 2018: 95-105 - 2017
- [j3]Lev Mukhanov, Pavlos Petoumenos, Zheng Wang, Konstantinos Parasyris, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Hugh Leather:
ALEA: A Fine-Grained Energy Profiling Tool. ACM Trans. Archit. Code Optim. 14(1): 1:1-1:25 (2017) - [c17]Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather:
End-to-End Deep Learning of Optimization Heuristics. PACT 2017: 219-232 - [c16]Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather:
Synthesizing benchmarks for predictive modeling. CGO 2017: 86-99 - [c15]William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather:
Minimizing the cost of iterative compilation with active learning. CGO 2017: 245-256 - 2016
- [c14]Hugh Leather, Janne Irgens:
The Lambda Calculus: Practice and Principle. A List of Successes That Can Change the World 2016: 201-206 - [c13]Galini Tsoukaneri, George Theodorakopoulos, Hugh Leather, Mahesh K. Marina:
On the Inference of User Paths from Anonymized Mobility Data. EuroS&P 2016: 199-213 - [c12]Oleksandr Murashko, John Thomson, Hugh Leather:
Predicting and Optimizing Image Compression. ACM Multimedia 2016: 665-669 - [e3]Gerhard R. Joubert, Hugh Leather, Mark Parsons, Frans J. Peters, Mark Sawyer:
Parallel Computing: On the Road to Exascale, Proceedings of the International Conference on Parallel Computing, ParCo 2015, 1-4 September 2015, Edinburgh, Scotland, UK. Advances in Parallel Computing 27, IOS Press 2016, ISBN 978-1-61499-620-0 [contents] - 2015
- [c11]Pavlos Petoumenos, Lev Mukhanov, Zheng Wang, Hugh Leather, Dimitrios S. Nikolopoulos:
Power Capping: What Works, What Does Not. ICPADS 2015: 525-534 - [c10]Stephen C. Kyle, Hugh Leather, Björn Franke, Dave Butcher, Stuart Monteith:
Application of Domain-aware Binary Fuzzing to Aid Android Virtual Machine Testing. VEE 2015: 121-132 - [e2]Zheng Wang, Pavlos Petoumenos, Hugh Leather:
Proceedings of the 2015 International Workshop on Code Optimisation for Multi and Many Cores, COSMIC@CGO 2015, San Francisco Bay Area, CA, USA, February 8, 2015. ACM 2015, ISBN 978-1-4503-3316-0 [contents] - [i2]Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather:
Autotuning OpenCL Workgroup Size for Stencil Patterns. CoRR abs/1511.02490 (2015) - [i1]Paschalis Mpeis, Pavlos Petoumenos, Hugh Leather:
Iterative compilation on mobile devices. CoRR abs/1511.02603 (2015) - 2014
- [j2]Hugh Leather, Edwin V. Bonilla, Michael F. P. O'Boyle:
Automatic feature generation for machine learning-based optimising compilation. ACM Trans. Archit. Code Optim. 11(1): 14:1-14:32 (2014) - [c9]William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather:
Active learning accelerated automatic heuristic construction for parallel program mapping. PACT 2014: 481-482 - [c8]Volker Seeker, Pavlos Petoumenos, Hugh Leather, Björn Franke:
Measuring QoE of interactive workloads and characterising frequency governors on mobile devices. IISWC 2014: 61-70 - [c7]William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather:
Fast Automatic Heuristic Construction Using Active Learning. LCPC 2014: 146-160 - 2013
- [c6]Alexander Collins, Christian Fensch, Hugh Leather, Murray Cole:
MaSiF: Machine learning guided auto-tuning of parallel skeletons. HiPC 2013: 186-195 - [e1]Zheng Wang, Hugh Leather:
Proceedings of the First International Workshop on Code Optimisation for Multi and Many Cores, COSMIC@CGO 2013, Shenzhen, China, February 24, 2013. ACM 2013, ISBN 978-1-4503-1971-3 [contents] - 2012
- [j1]Alexander Collins, Christian Fensch, Hugh Leather:
Auto-Tuning Parallel Skeletons. Parallel Process. Lett. 22(2) (2012) - [c5]Alexander Collins, Christian Fensch, Hugh Leather:
MaSiF: machine learning guided auto-tuning of parallel skeletons. PACT 2012: 437-438 - [c4]Stephen C. Kyle, Igor Böhm, Björn Franke, Hugh Leather, Nigel P. Topham:
Efficiently parallelizing instruction set simulation of embedded multi-core processors using region-based just-in-time dynamic binary translation. LCTES 2012: 21-30 - 2011
- [b1]Hugh Leather:
Machine learning in compilers. University of Edinburgh, UK, 2011
2000 – 2009
- 2009
- [c3]Hugh Leather, Edwin V. Bonilla, Michael F. P. O'Boyle:
Automatic Feature Generation for Machine Learning Based Optimizing Compilation. CGO 2009: 81-91 - [c2]Hugh Leather, Michael F. P. O'Boyle, Bruce Worton:
Raced profiles: efficient selection of competing compiler optimizations. LCTES 2009: 50-59 - 2007
- [c1]Matthew Barnes, Hugh Leather, D. K. Arvind:
Emergency Evacuation using Wireless Sensor Networks. LCN 2007: 851-857
Coauthor Index
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last updated on 2024-10-07 02:29 CEST by the dblp team
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