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...

Celý popis

Podrobná bibliografie

Vydáno v:	SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis s. 558 - 566
Hlavní autoři:	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:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 17.11.2024
Témata:	Computer architecture Grace-Hopper Graphics processing units Hardware High performance computing HPC Lakes Machine learning NVIDIA Performance analysis Petascale Production Software Supercomputers
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!