Hugh Leather

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 53

Top Venues

CoRR

CGO

PACT

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

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)
Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather
Priority Sampling of Large Language Models for Compilers. CoRR (2024)
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 (2024)
Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather
Compiler generated feedback for Large Language Models. CoRR (2024)
Alex Gu, Baptiste Rozière, Hugh Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida I. Wang
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. CoRR (2024)
Volker Seeker, Chris Cummins, Murray Cole, Björn Franke, Kim M. Hazelwood, Hugh Leather
Revealing Compiler Heuristics Through Automated Discovery and Optimization. CGO (2024)
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 (2024)
Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve
Code Translation with Compiler Representations. ICLR (2023)
Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari Morcos
SIEVE: Multimodal Dataset Pruning Using Image Captioning Models. CoRR (2023)
Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Pengtao Xie, Hugh Leather, Yuandong Tian
Learning to compile smartly for program size reduction. CoRR (2023)
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)
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 (2023)
Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
BenchDirect: A Directed Language Model for Compiler Benchmarks. CoRR (2023)
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 (2022)
Shikhar Singh, James Hegarty, Hugh Leather, Benoit Steiner
A graph neural network-based performance model for deep learning applications. MAPS@PLDI (2022)
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 (2022)
Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
BenchPress: A Deep Active Benchmark Generator. CoRR (2022)
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) (2022)
Huanting Wang, Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather, Zheng Wang
Automating reinforcement learning architecture design for code optimization. CC (2022)
Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
BenchPress: A Deep Active Benchmark Generator. PACT (2022)
Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve
Code Translation with Compiler Representations. CoRR (2022)
Bram Wasti, José Pablo Cambronero, Benoit Steiner, Hugh Leather, Aleksandar Zlateski
LoopStack: a Lightweight Tensor Algebra Compiler Stack. CoRR (2022)
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)
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)
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)
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)
Shikhar Singh, Benoit Steiner, James Hegarty, Hugh Leather
Using Graph Neural Networks to model the performance of Deep Neural Networks. CoRR (2021)
Paschalis Mpeis, Pavlos Petoumenos, Kim M. Hazelwood, Hugh Leather
Developer and user-transparent compiler optimization for interactive applications. PLDI (2021)
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 (2021)
Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Kim M. Hazelwood, Hugh Leather
HyFM: function merging for free. LCTES (2021)
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) (2021)
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 (2021)
Benoit Steiner, Chris Cummins, Horace He, Hugh Leather
Value Learning for Throughput Optimization of Deep Learning Workloads. MLSys (2021)
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)
Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Hugh Leather
Effective function merging in the SSA form. PLDI (2020)
Teng Yu, Pavlos Petoumenos, Vladimir Janjic, Hugh Leather, John Thomson
COLAB: a collaborative multi-factor scheduler for asymmetric multicore processors. CGO (2020)
Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle
Deep Data Flow Analysis. CoRR (2020)
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)
Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis. CoRR (2020)
Hugh Leather, Chris Cummins
Machine Learning in Compilers: Past, Present and Future. FDL (2020)
Benoit Steiner, Chris Cummins, Horace He, Hugh Leather
Value Function Based Performance Optimization of Deep Learning Workloads. CoRR (2020)
Teng Yu, Pavlos Petoumenos, Vladimir Janjic, Mingcan Zhu, Hugh Leather, John Thomson
POSTER: A Collaborative Multi-Factor Scheduler for Asymmetric Multicore Processors. PACT (2019)
Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Hugh Leather
Function Merging by Sequence Alignment. CGO (2019)
Andrés Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jerónimo Castrillón
A case study on machine learning for synthesizing benchmarks. MAPL@PLDI (2019)
Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather
Compiler fuzzing through deep learning. ISSTA (2018)
Chad Verbowski, Ed Thayer, Paolo Costa, Hugh Leather, Björn Franke
Right-Sizing Server Capacity Headroom for Global Online Services. ICDCS (2018)
Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather
End-to-End Deep Learning of Optimization Heuristics. PACT (2017)
Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather
Synthesizing benchmarks for predictive modeling. CGO (2017)
William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather
Minimizing the cost of iterative compilation with active learning. CGO (2017)
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) (2017)
Hugh Leather, Janne Irgens
The Lambda Calculus: Practice and Principle. A List of Successes That Can Change the World (2016)
Oleksandr Murashko, John Thomson, Hugh Leather
Predicting and Optimizing Image Compression. ACM Multimedia (2016)
Galini Tsoukaneri, George Theodorakopoulos, Hugh Leather, Mahesh K. Marina
On the Inference of User Paths from Anonymized Mobility Data. EuroS&P (2016)
Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather
Autotuning OpenCL Workgroup Size for Stencil Patterns. CoRR (2015)
Paschalis Mpeis, Pavlos Petoumenos, Hugh Leather
Iterative compilation on mobile devices. CoRR (2015)
Pavlos Petoumenos, Lev Mukhanov, Zheng Wang, Hugh Leather, Dimitrios S. Nikolopoulos
Power Capping: What Works, What Does Not. ICPADS (2015)
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)
Volker Seeker, Pavlos Petoumenos, Hugh Leather, Björn Franke
Measuring QoE of interactive workloads and characterising frequency governors on mobile devices. IISWC (2014)
William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather
Active learning accelerated automatic heuristic construction for parallel program mapping. PACT (2014)
William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather
Fast Automatic Heuristic Construction Using Active Learning. LCPC (2014)
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) (2014)
Alexander Collins, Christian Fensch, Hugh Leather, Murray Cole
MaSiF: Machine learning guided auto-tuning of parallel skeletons. HiPC (2013)
Alexander Collins, Christian Fensch, Hugh Leather
MaSiF: machine learning guided auto-tuning of parallel skeletons. PACT (2012)
Alexander Collins, Christian Fensch, Hugh Leather
Auto-Tuning Parallel Skeletons. Parallel Process. Lett. 22 (2) (2012)
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)
Hugh Leather, Michael F. P. O'Boyle, Bruce Worton
Raced profiles: efficient selection of competing compiler optimizations. LCTES (2009)
Hugh Leather, Edwin V. Bonilla, Michael F. P. O'Boyle
Automatic Feature Generation for Machine Learning Based Optimizing Compilation. CGO (2009)
Matthew Barnes, Hugh Leather, D. K. Arvind
Emergency Evacuation using Wireless Sensor Networks. LCN (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hugh Leather