Anandkumar, Anima (2022) ScaDL 2022 Invited Talk 3: Million-x speedups through convergence of AI and HPC. In: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE , Piscataway, NJ, p. 1041. ISBN 978-1-6654-9747-3. https://resolver.caltech.edu/CaltechAUTHORS:20220805-757905000
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Abstract
Many scientific applications currently rely on the use of brute-force numerical methods performed on highperformance computing (HPC) infrastructure. However, these methods have their limits even with the growing hardware capabilities, e.g. for fine-scale climate prediction and large molecule quantum chemistry. Can artificial intelligence (AI) methods augment or even entirely replace these brute-force calculations to obtain million-x speed-ups? Can we make groundbreaking new discoveries because of such speed-ups? I will present exciting recent advances that build new foundations in AI that are applicable to a wide range of problems such as fluid dynamics and quantum chemistry.
| Item Type: | Book Section | ||||||
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| Additional Information: | © 2022 IEEE. | ||||||
| DOI: | 10.1109/ipdpsw55747.2022.00168 | ||||||
| Record Number: | CaltechAUTHORS:20220805-757905000 | ||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20220805-757905000 | ||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
| ID Code: | 116146 | ||||||
| Collection: | CaltechAUTHORS | ||||||
| Deposited By: | George Porter | ||||||
| Deposited On: | 09 Aug 2022 20:17 | ||||||
| Last Modified: | 09 Aug 2022 20:17 |
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