Tal Ben-Nun
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Demystifying parallel and distributed deep learning: An in-depth concurrency analysis
T Ben-Nun, T Hoefler
ACM Computing Surveys (CSUR) 52 (4), 1-43, 2019
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
T Hoefler, D Alistarh, T Ben-Nun, N Dryden, A Peste
Journal of Machine Learning Research 22 (241), 1-124, 2021
Augment your batch: Improving generalization through instance repetition
E Hoffer, T Ben-Nun, I Hubara, N Giladi, T Hoefler, D Soudry
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Neural Code Comprehension: A Learnable Representation of Code Semantics
T Ben-Nun, AS Jakobovits, T Hoefler
Advances in Neural Information Processing Systems 31, 2018
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
C Cummins, ZV Fisches, T Ben-Nun, T Hoefler, MFP O’Boyle, H Leather
International Conference on Machine Learning, 2244-2253, 2021
Groute: An asynchronous multi-GPU programming model for irregular computations
T Ben-Nun, M Sutton, S Pai, K Pingali
ACM SIGPLAN Notices 52 (8), 235-248, 2017
Deep learning for post-processing ensemble weather forecasts
P Grönquist, C Yao, T Ben-Nun, N Dryden, P Dueben, S Li, T Hoefler
Philosophical Transactions of the Royal Society A 379 (2194), 1-18, 2021
A package for OpenCL based heterogeneous computing on clusters with many GPU devices
A Barak, T Ben-Nun, E Levy, A Shiloh
2010 IEEE international conference on cluster computing workshops and …, 2010
Stateful dataflow multigraphs: A data-centric model for performance portability on heterogeneous architectures
T Ben-Nun, J de Fine Licht, AN Ziogas, T Schneider, T Hoefler
Proceedings of the International Conference for High Performance Computing …, 2019
Data Movement Is All You Need: A Case Study on Optimizing Transformers
A Ivanov, N Dryden, T Ben-Nun, S Li, T Hoefler
Fourth Conference on Machine Learning and Systems (MLSys), 2021
A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning
T Ben-Nun, M Besta, S Huber, AN Ziogas, D Peter, T Hoefler
The 33rd IEEE International Parallel & Distributed Processing Symposium …, 2019
X+: a comprehensive computationally accelerated structure analysis tool for solution X-ray scattering from supramolecular self-assemblies
T Ben-Nun, A Ginsburg, P Székely, U Raviv
Journal of Applied Crystallography 43 (6), 1522-1531, 2010
Memory access patterns: The missing piece of the multi-GPU puzzle
T Ben-Nun, E Levy, A Barak, E Rubin
Proceedings of the International Conference for High Performance Computing …, 2015
Solution X-ray scattering form factors of supramolecular self-assembled structures
P Székely, A Ginsburg, T Ben-Nun, U Raviv
Langmuir 26 (16), 13110-13129, 2010
Graph processing on FPGAs: Taxonomy, survey, challenges
M Besta, D Stanojevic, JDF Licht, T Ben-Nun, T Hoefler
arXiv preprint arXiv:1903.06697, 2019
Taming unbalanced training workloads in deep learning with partial collective operations
S Li, T Ben-Nun, SD Girolamo, D Alistarh, T Hoefler
Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of …, 2020
A data-centric approach to extreme-scale ab initio dissipative quantum transport simulations
AN Ziogas, T Ben-Nun, GI Fernández, T Schneider, M Luisier, T Hoefler
Proceedings of the International Conference for High Performance Computing …, 2019
Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling
M Sutton, T Ben-Nun, A Barak
IEEE International Parallel and Distributed Processing Symposium, 2018
Clairvoyant prefetching for distributed machine learning I/O
N Dryden, R Böhringer, T Ben-Nun, T Hoefler
Proceedings of the International Conference for High Performance Computing …, 2021
Substream-Centric Maximum Matchings on FPGA
M Besta, M Fischer, T Ben-Nun, J de Fine Licht, T Hoefler
27th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2018
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