Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems-Reference-Cited by-同舟云学术

Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
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Author:

Hossain Khalid¹^ORCID,Balin Riccardo²^ORCID,Adams Corey²^ORCID,Uram Thomas¹^ORCID,Kumaran Kalyan¹^ORCID,Vishwanath Venkatram¹^ORCID,Dey Tanima³^ORCID,Goswami Subrata³^ORCID,Lee Janghaeng³^ORCID,Ramer Rebecca³^ORCID,Yamada Koichi³^ORCID

Affiliation:

1. Argonne National Laboratory, USA

2. Argonne National Laboratory, United States of America

3. Intel Corporation, USA

Funder

DOE Office of Science

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3624138

Reference16 articles.

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3. [ 3 ] ATLAS collaboration. 2021. https://doi.org/record/15009 [3] ATLAS collaboration. 2021. https://doi.org/record/15009

4. NVIDIA Corporation. 2023. Multi-Process Service. https://docs.nvidia.com/deploy/mps/index.html. NVIDIA Corporation. 2023. Multi-Process Service. https://docs.nvidia.com/deploy/mps/index.html.

5. Argonne Leadership Computing Facility. 2023. Aurora. https://www.alcf.anl.gov/aurora Argonne Leadership Computing Facility. 2023. Aurora. https://www.alcf.anl.gov/aurora