The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: High Performance Python for Science at Scale
Authors: Khalid Hossain, Riccardo Balin, Corey Adams, Thomas Uram, Kalyan Kumaran, and Venkatram Vishwanath (Argonne National Laboratory) and Tanima Dey, Subrata Goswami, Janghaeng Lee, Rebecca Ramer, and Koichi Yamada (Intel Corporation)
Abstract: With the largest datasets to date and a diverse set of discoveries to be made, the current generation of scientific analyses are well poised to utilize artificial intelligence (AI) and machine learning (ML) on high performance computing (HPC) resources. Like never before, these workflows can be written in one portable language, Python, which thanks to highly-optimized ML libraries achieves excellent cross-platform performance with little to no intervention by the user. In this demonstration, we explore the performance of several scientific AI/ML applications across leading HPC resources and highlight best practices for portable performance.
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