Hugh Leather - RankMe

79 papers A* 7A 12B 18C 1Misc 1Journal 29Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CWM: An Open-Weights LLM for Research on Code Generation with World Models. CoRR FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram H. Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter W. O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve
2025	B	`conf`	DFA-Net: A Compiler-Specific Neural Architecture for Robust Generalization in Data Flow Analyses. CC Alexander Brauckmann, Anderson Faustino da Silva, Gabriel Synnaeve, Michael F. P. O'Boyle, Jerónimo Castrillón, Hugh Leather
2025	B	`conf`	LLM Compiler: Foundation Language Models for Compiler Optimization. CC Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozière, Jonas Gehring, Gabriel Synnaeve, Hugh Leather
2025	B	`conf`	LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers. PACT Massinissa Merouani, Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Islem Kara Bernou, Hamza Benyamina, Fatima Benbouzid-Si Tayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi
2025	A	`ed.`	Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization, CGO 2025, Las Vegas, NV, USA, March 1-5, 2025 CGO Johannes Doerfert, Tobias Grosser, Hugh Leather, P. Sadayappan
2024	J	`jnl`	CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. CoRR Alex Gu, Baptiste Rozière, Hugh Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida I. Wang
2024	J	`jnl`	Compiler generated feedback for Large Language Models. CoRR Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather
2024	J	`jnl`	Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs. CoRR Chris Cummins, Volker Seeker, Jordi Armengol-Estapé, Aram H. Markosyan, Gabriel Synnaeve, Hugh Leather
2024	J	`jnl`	LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers. CoRR 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
2024	J	`jnl`	Meta Large Language Model Compiler: Foundation Models of Compiler Optimization. CoRR Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozière, Jonas Gehring, Gabriel Synnaeve, Hugh Leather
2024	—	`conf`	Priority Sampling of Large Language Models for Compilers. EuroMLSys@EuroSys Dejan Grubisic, Volker Seeker, Gabriel Synnaeve, Hugh Leather, John M. Mellor-Crummey, Chris Cummins
2024	J	`jnl`	Priority Sampling of Large Language Models for Compilers. CoRR Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather
2024	A	`conf`	Revealing Compiler Heuristics Through Automated Discovery and Optimization. CGO Volker Seeker, Chris Cummins, Murray Cole, Björn Franke, Kim M. Hazelwood, Hugh Leather
2024	A*	`conf`	Sieve: Multimodal Dataset Pruning Using Image Captioning Models. CVPR Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari S. Morcos
2023	J	`jnl`	BenchDirect: A Directed Language Model for Compiler Benchmarks. CoRR Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
2023	A*	`conf`	CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning. NeurIPS Dadallage A. R. Silva, Spencer Whitehead, Christopher T. Lengerich, Hugh Leather
2023	A*	`conf`	Code Translation with Compiler Representations. ICLR Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve
2023	J	`jnl`	Large Language Models for Compiler Optimization. CoRR Chris Cummins, Volker Seeker, Dejan Grubisic, Mostafa Elhoushi, Youwei Liang, Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Kim M. Hazelwood, Gabriel Synnaeve, Hugh Leather
2023	J	`jnl`	Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. CoRR Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian
2023	J	`jnl`	SIEVE: Multimodal Dataset Pruning Using Image Captioning Models. CoRR Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari Morcos
2022	—	`conf`	A graph neural network-based performance model for deep learning applications. MAPS@PLDI Shikhar Singh, James Hegarty, Hugh Leather, Benoit Steiner
2022	B	`conf`	Automating reinforcement learning architecture design for code optimization. CC Huanting Wang, Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather, Zheng Wang
2022	B	`conf`	BenchPress: A Deep Active Benchmark Generator. PACT Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
2022	J	`jnl`	BenchPress: A Deep Active Benchmark Generator. CoRR Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather
2022	B	`conf`	Caviar: an e-graph based TRS for automatic code optimization. CC Smail Kourta, Adel Abderahmane Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi
2022	J	`jnl`	Code Translation with Compiler Representations. CoRR Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve
2022	A	`conf`	CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CGO 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	J	`jnl`	Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning. CoRR Chris Lengerich, Gabriel Synnaeve, Amy Zhang, Hugh Leather, Kurt Shuster, François Charton, Charysse Redwood
2022	A	`conf`	F3M: Fast Focused Function Merging. CGO Sean Stirling, Rodrigo C. O. Rocha, Kim M. Hazelwood, Hugh Leather, Michael F. P. O'Boyle, Pavlos Petoumenos
2022	J	`jnl`	LoopStack: a Lightweight Tensor Algebra Compiler Stack. CoRR Bram Wasti, José Pablo Cambronero, Benoit Steiner, Hugh Leather, Aleksandar Zlateski
2022	J	`jnl`	Object Intersection Captures on Interactive Apps to Drive a Crowd-sourced Replay-based Compiler Optimization. ACM Trans. Archit. Code Optim. Paschalis Mpeis, Pavlos Petoumenos, Kim M. Hazelwood, Hugh Leather
2022	J	`jnl`	Progress Report: A Deep Learning Guided Exploration of Affine Unimodular Loop Transformations. CoRR Massinissa Merouani, Khaled Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Fatima Benbouzid-Sitayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi
2022	B	`conf`	Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition. PACT Cheng Fu, Hanxian Huang, Bram Wasti, Chris Cummins, Riyadh Baghdadi, Kim M. Hazelwood, Yuandong Tian, Jishen Zhao, Hugh Leather
2021	J	`jnl`	Caviar: An E-graph Based TRS for Automatic Code Optimization. CoRR Smail Kourta, Adel Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi
2021	J	`jnl`	Collaborative Heterogeneity-Aware OS Scheduler for Asymmetric Multicore Processors. IEEE Trans. Parallel Distributed Syst. Teng Yu, Runxin Zhong, Vladimir Janjic, Pavlos Petoumenos, Jidong Zhai, Hugh Leather, John Thomson
2021	J	`jnl`	CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CoRR 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	A*	`conf`	Developer and user-transparent compiler optimization for interactive applications. PLDI Paschalis Mpeis, Pavlos Petoumenos, Kim M. Hazelwood, Hugh Leather
2021	B	`conf`	HyFM: function merging for free. LCTES Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Kim M. Hazelwood, Hugh Leather
2021	A*	`conf`	ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations. ICML Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle, Hugh Leather
2021	J	`jnl`	Using Graph Neural Networks to model the performance of Deep Neural Networks. CoRR Shikhar Singh, Benoit Steiner, James Hegarty, Hugh Leather
2021	—	`conf`	Value Learning for Throughput Optimization of Deep Learning Workloads. MLSys Benoit Steiner, Chris Cummins, Horace He, Hugh Leather
2020	A	`conf`	COLAB: a collaborative multi-factor scheduler for asymmetric multicore processors. CGO Teng Yu, Pavlos Petoumenos, Vladimir Janjic, Hugh Leather, John Thomson
2020	J	`jnl`	Deep Data Flow Analysis. CoRR Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle
2020	A*	`conf`	Effective function merging in the SSA form. PLDI Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Hugh Leather
2020	C	`conf`	Machine Learning in Compilers: Past, Present and Future. FDL Hugh Leather, Chris Cummins
2020	J	`jnl`	ProGraML: Graph-based Deep Learning for Program Optimization and Analysis. CoRR Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather
2020	J	`jnl`	Value Function Based Performance Optimization of Deep Learning Workloads. CoRR Benoit Steiner, Chris Cummins, Horace He, Hugh Leather
2020	B	`conf`	Vectorization-aware loop unrolling with seed forwarding. CC Rodrigo C. O. Rocha, Vasileios Porpodas, Pavlos Petoumenos, Luís F. W. Góes, Zheng Wang, Murray Cole, Hugh Leather
2019	—	`conf`	A case study on machine learning for synthesizing benchmarks. MAPL@PLDI Andrés Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jerónimo Castrillón
2019	A	`conf`	Function Merging by Sequence Alignment. CGO Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Hugh Leather
2019	B	`conf`	POSTER: A Collaborative Multi-Factor Scheduler for Asymmetric Multicore Processors. PACT Teng Yu, Pavlos Petoumenos, Vladimir Janjic, Mingcan Zhu, Hugh Leather, John Thomson
2018	A	`conf`	Compiler fuzzing through deep learning. ISSTA Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather
2018	A	`conf`	Right-Sizing Server Capacity Headroom for Global Online Services. ICDCS Chad Verbowski, Ed Thayer, Paolo Costa, Hugh Leather, Björn Franke
2017	J	`jnl`	ALEA: A Fine-Grained Energy Profiling Tool. ACM Trans. Archit. Code Optim. Lev Mukhanov, Pavlos Petoumenos, Zheng Wang, Konstantinos Parasyris, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Hugh Leather
2017	B	`conf`	End-to-End Deep Learning of Optimization Heuristics. PACT Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather
2017	A	`conf`	Minimizing the cost of iterative compilation with active learning. CGO William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather
2017	A	`conf`	Synthesizing benchmarks for predictive modeling. CGO Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather
2016	A	`conf`	On the Inference of User Paths from Anonymized Mobility Data. EuroS&P Galini Tsoukaneri, George Theodorakopoulos, Hugh Leather, Mahesh K. Marina
2016	—	`ed.`	Parallel Computing: On the Road to Exascale, Proceedings of the International Conference on Parallel Computing, ParCo 2015, 1-4 September 2015, Edinburgh, Scotland, UK PARCO Gerhard R. Joubert, Hugh Leather, Mark Parsons, Frans J. Peters, Mark Sawyer
2016	A*	`conf`	Predicting and Optimizing Image Compression. ACM Multimedia Oleksandr Murashko, John Thomson, Hugh Leather
2016	—	`conf`	The Lambda Calculus: Practice and Principle. A List of Successes That Can Change the World Hugh Leather, Janne Irgens
2015	B	`conf`	Application of Domain-aware Binary Fuzzing to Aid Android Virtual Machine Testing. VEE Stephen C. Kyle, Hugh Leather, Björn Franke, Dave Butcher, Stuart Monteith
2015	J	`jnl`	Autotuning OpenCL Workgroup Size for Stencil Patterns. CoRR Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather
2015	J	`jnl`	Iterative compilation on mobile devices. CoRR Paschalis Mpeis, Pavlos Petoumenos, Hugh Leather
2015	B	`conf`	Power Capping: What Works, What Does Not. ICPADS Pavlos Petoumenos, Lev Mukhanov, Zheng Wang, Hugh Leather, Dimitrios S. Nikolopoulos
2015	—	`ed.`	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 COSMIC@CGO Zheng Wang, Pavlos Petoumenos, Hugh Leather
2014	B	`conf`	Active learning accelerated automatic heuristic construction for parallel program mapping. PACT William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather
2014	J	`jnl`	Automatic feature generation for machine learning-based optimising compilation. ACM Trans. Archit. Code Optim. Hugh Leather, Edwin V. Bonilla, Michael F. P. O'Boyle
2014	—	`conf`	Fast Automatic Heuristic Construction Using Active Learning. LCPC William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather
2014	—	`conf`	Measuring QoE of interactive workloads and characterising frequency governors on mobile devices. IISWC Volker Seeker, Pavlos Petoumenos, Hugh Leather, Björn Franke
2013	Misc	`conf`	MaSiF: Machine learning guided auto-tuning of parallel skeletons. HiPC Alexander Collins, Christian Fensch, Hugh Leather, Murray Cole
2013	—	`ed.`	Proceedings of the First International Workshop on Code Optimisation for Multi and Many Cores, COSMIC@CGO 2013, Shenzhen, China, February 24, 2013 COSMIC@CGO Zheng Wang, Hugh Leather
2012	J	`jnl`	Auto-Tuning Parallel Skeletons. Parallel Process. Lett. Alexander Collins, Christian Fensch, Hugh Leather
2012	B	`conf`	Efficiently parallelizing instruction set simulation of embedded multi-core processors using region-based just-in-time dynamic binary translation. LCTES Stephen C. Kyle, Igor Böhm, Björn Franke, Hugh Leather, Nigel P. Topham
2012	B	`conf`	MaSiF: machine learning guided auto-tuning of parallel skeletons. PACT Alexander Collins, Christian Fensch, Hugh Leather
2011	—	`—`	Machine learning in compilers. Hugh Leather
2009	A	`conf`	Automatic Feature Generation for Machine Learning Based Optimizing Compilation. CGO Hugh Leather, Edwin V. Bonilla, Michael F. P. O'Boyle
2009	B	`conf`	Raced profiles: efficient selection of competing compiler optimizations. LCTES Hugh Leather, Michael F. P. O'Boyle, Bruce Worton
2007	B	`conf`	Emergency Evacuation using Wireless Sensor Networks. LCN Matthew Barnes, Hugh Leather, D. K. Arvind