Chris Cummins
Chris Cummins
Facebook AI Research
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End-to-end Deep Learning of Optimization Heuristics
C Cummins, P Petoumenos, Z Wang, H Leather
26th International Conference on Parallel Architectures and Compilation …, 2017
1072017
Synthesizing Benchmarks for Predictive Modeling
C Cummins, P Petoumenos, Z Wang, H Leather
International Symposium on Code Generationand Optimization (CGO), 2017
622017
Compiler fuzzing through deep learning
C Cummins, P Petoumenos, A Murray, H Leather
Proceedings of the 27th ACM SIGSOFT International Symposium on Software …, 2018
562018
Autotuning OpenCL Workgroup Size for Stencil Patterns
C Cummins, P Petoumenos, M Steuwer, H Leather
The 6th International Workshop on Adaptive Self-tuning Computing Systems, HiPEAC, 2016
262016
PIP-DB: the protein isoelectric point database
E Bunkute, C Cummins, FJ Crofts, G Bunce, IT Nabney, DR Flower
Bioinformatics 31 (2), 295-296, 2015
172015
Programl: Graph-based deep learning for program optimization and analysis
C Cummins, ZV Fisches, T Ben-Nun, T Hoefler, H Leather
arXiv preprint arXiv:2003.10536, 2020
142020
Deep Learning for Compilers
C Cummins
University of Edinburgh, 2020
52020
Towards Collaborative Performance Tuning of Algorithmic Skeletons
C Cummins, P Petoumenos, M Steuwer, H Leather
High-Level Programming for Heterogeneous and Hierarchical Parallel Systems …, 2016
52016
A case study on machine learning for synthesizing benchmarks
A Goens, A Brauckmann, S Ertel, C Cummins, H Leather, J Castrillon
Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine …, 2019
32019
DeepSmith: Compiler Fuzzing through Deep Learning
C Cummins, P Petoumenos, A Murray, H Leather
ACACES, 2018
22018
Machine learning in compilers: Past, present and future
H Leather, C Cummins
2020 Forum for Specification and Design Languages (FDL), 1-8, 2020
12020
Value Learning for Throughput Optimization of Deep Learning Workloads
B Steiner, C Cummins, H He, H Leather
Proceedings of Machine Learning and Systems 3, 2021
2021
Value Function Based Performance Optimization of Deep Learning Workloads
B Steiner, C Cummins, H He, H Leather
arXiv preprint arXiv:2011.14486, 2020
2020
Deep Data Flow Analysis
C Cummins, H Leather, Z Fisches, T Ben-Nun, T Hoefler, M O'Boyle
arXiv preprint arXiv:2012.01470, 2020
2020
Program Graphs for Machine Learning
C Cummins, Z Fisches, T Ben-Nun, T Hoefler, H Leather, M O’Boyle
NeurIPS, 2020
2020
Autotuning Stencils Codes with Algorithmic Skeletons
C Cummins
Institute of Computing Systems Architecture, School of Informatics, The …, 2015
2015
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