Machine Learning in Compiler Optimisation

9 May 2018

Papers citing "Machine Learning in Compiler Optimisation"

28 / 28 papers shown

Title
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization Chris Cummins Volker Seeker Dejan Grubisic Baptiste Roziere Jonas Gehring Gabriel Synnaeve Hugh Leather 29 16 0 27 Jun 2024
Compiler generated feedback for Large Language Models Dejan Grubisic Chris Cummins Volker Seeker Hugh Leather 24 5 0 18 Mar 2024
Large Language Models for Compiler Optimization Chris Cummins Volker Seeker Dejan Grubisic Mostafa Elhoushi Youwei Liang ... Jonas Gehring Fabian Gloeckle Kim M. Hazelwood Gabriel Synnaeve Hugh Leather 18 47 0 11 Sep 2023
Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems Giorgis Georgakoudis K. Parasyris C. Liao D. Beckingsale T. Gamblin B. D. Supinski 20 1 0 15 Mar 2023
BenchDirect: A Directed Language Model for Compiler Benchmarks Foivos Tsimpourlas Pavlos Petoumenos Min Xu Chris Cummins K. Hazelwood A. Rajan Hugh Leather ELM 13 3 0 02 Mar 2023
Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework H. Peeler Shuyue Stella Li A. Sloss Kenneth N. Reid Yuan Yuan W. Banzhaf 26 10 0 31 Jan 2022
Dynamic GPU Energy Optimization for Machine Learning Training Workloads Farui Wang Weizhe Zhang Shichao Lai Meng Hao Zheng Wang 16 29 0 05 Jan 2022
Optimizing Sparse Matrix Multiplications for Graph Neural Networks Shenghao Qiu You Liang Zheng Wang GNN 21 18 0 30 Oct 2021
FOGA: Flag Optimization with Genetic Algorithm Burak Tagtekin Berkan Höke M. Sezer Mahiye Uluyagmur Öztürk 9 5 0 15 May 2021
A Reinforcement Learning Environment for Polyhedral Optimizations Alexander Brauckmann Andrés Goens J. Castrillón 18 6 0 28 Apr 2021
Automatic Cause Detection of Performance Problems in Web Applications Quentin Fournier Naser Ezzati-Jivan Daniel Aloise M. Dagenais 20 8 0 08 Mar 2021
Deep Data Flow Analysis Chris Cummins Hugh Leather Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Michael F. P. O'Boyle 11 4 0 21 Nov 2020
ProTuner: Tuning Programs with Monte Carlo Tree Search Ameer Haj-Ali Hasan Genç Qijing Huang William S. Moses J. Wawrzynek Krste Asanović Ion Stoica 17 21 0 27 May 2020
Parallel Programming Models for Heterogeneous Many-Cores : A Survey Jianbin Fang Chun Huang T. Tang Z. Wang SyDa MoMe 14 3 0 05 May 2020
Smart, Adaptive Energy Optimization for Mobile Web Interactions Jie Ren Lu Yuan Petteri Nurmi Xiaoming Wang Miao Ma Ling Gao Zhanyong Tang Jie Zheng Zheng Wang 13 13 0 02 May 2020
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 85 56 0 23 Mar 2020
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach Peng Zhang Jianbin Fang Canqun Yang Chun Huang T. Tang Z. Wang 14 14 0 05 Mar 2020
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning Qijing Huang Ameer Haj-Ali William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 15 55 0 02 Mar 2020
Automated Parallel Kernel Extraction from Dynamic Application Traces Richard Uhrie C. Chakrabarti J. Brunhaver 14 7 0 27 Jan 2020
Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores Donglin Chen Jianbin Fang Chuanfu Xu Shizhao Chen Zheng Wang 14 13 0 20 Nov 2019
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection Vicent Sanz Marco Ben Taylor Z. Wang Y. Elkhatib 17 60 0 09 Nov 2019
Revocable Federated Learning: A Benchmark of Federated Forest Yang Liu Zhuo Ma Ximeng Liu Zhuzhu Wang Siqi Ma Ken Ren FedML MU 11 10 0 08 Nov 2019
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning Ameer Haj-Ali Nesreen Ahmed Theodore L. Willke Sophia Shao Krste Asanović Ion Stoica 14 101 0 20 Sep 2019
Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Multi-cores Lu Yuan Jie Ren Ling Gao Zhanyong Tang Zheng Wang 14 9 0 20 Jun 2019
Categorization of Program Regions for Agile Compilation using Machine Learning and Hardware Support Sanket Tavarageri 11 0 0 29 May 2019
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning Ameer Haj-Ali Qijing Huang William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 21 36 0 15 Jan 2019
Deep Reinforcement Learning Yuxi Li VLM OffRL 23 144 0 15 Oct 2018
Adaptive Selection of Deep Learning Models on Embedded Systems Ben Taylor Vicent Sanz Marco W. Wolff Yehia El-khatib Zheng Wang 15 13 0 11 May 2018