Performance Analysis of Scientific Applications on an NVIDIA Grace System

The NSF funded Frontera system has supported many important scientific applications over the last five years, not only in HPC but also in the area of Big Data and Machine Learning. Applications leveraged the petascale computational capabilities of the system to achieve new breakthroughs in science a...

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Vydané v:	SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis s. 558 - 566
Hlavní autori:	Ruhela, Amit, Cazes, John, McCalpin, John, Del-Castillo-Negrete, Carlos, Li, Junjie, Liu, Hang, Chen, Hanning, Lu, Chun-Yaung, Milfeld, Kent, Zhang, Wenyang, Wang, Ian, Koesterke, Lars, DeSantis, John, Lewis, Nic, Hempel, Sean, Stanzione, Dan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 17.11.2024
Predmet:	Computer architecture Grace-Hopper Graphics processing units Hardware High performance computing HPC Lakes Machine learning NVIDIA Performance analysis Petascale Production Software Supercomputers
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