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Performance Embeddings: A Similarity-based Approach to Automatic Performance Optimization


Mar 14, 2023
Lukas Trümper, Tal Ben-Nun, Philipp Schaad, Alexandru Calotoiu, Torsten Hoefler

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A Theory of I/O-Efficient Sparse Neural Network Inference


Jan 03, 2023
Niels Gleinig, Tal Ben-Nun, Torsten Hoefler

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ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast


Jun 29, 2022
Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler

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A Data-Centric Optimization Framework for Machine Learning


Oct 20, 2021
Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler

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Learning Combinatorial Node Labeling Algorithms


Jun 15, 2021
Lukas Gianinazzi, Maximilian Fries, Nikoli Dryden, Tal Ben-Nun, Maciej Besta, Torsten Hoefler

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Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks


Jan 31, 2021
Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste

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* 90 pages, 26 figures 

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Clairvoyant Prefetching for Distributed Machine Learning I/O


Jan 21, 2021
Roman Böhringer, Nikoli Dryden, Tal Ben-Nun, Torsten Hoefler

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* 15 pages, 11 figures 

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Deep Data Flow Analysis


Nov 21, 2020
Chris Cummins, Hugh Leather, Zacharias Fisches, Tal Ben-Nun, Torsten Hoefler, Michael O'Boyle

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* 9 pages, plus appendices. arXiv admin note: text overlap with arXiv:2003.10536 

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Data Movement Is All You Need: A Case Study on Optimizing Transformers


Jul 02, 2020
Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Shigang Li, Torsten Hoefler

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* 15 pages, 6 figures; minor clarifications and style updates 

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