GPU clusters for high-performance computing

GPU clusters for high-performance computing

Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenges with building and running GPU clusters in HPC en...

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Hauptverfasser: Kindratenko, V.V., Enos, J.J., Guochun Shi, Showerman, M.T., Arnold, G.W., Stone, J.E., Phillips, J.C., Wen-mei Hwu
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bandwidth
Computational biophysics
Computer architecture
Data security
Hardware
Parallel programming
Production
Quadratic programming
Resource management
Space cooling
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Beschreibung
Zusammenfassung:Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenges with building and running GPU clusters in HPC environments. We touch upon such issues as balanced cluster architecture, resource sharing in a cluster environment, programming models, and applications for GPU clusters.
ISSN:1552-5244
2168-9253
DOI:10.1109/CLUSTR.2009.5289128