Keeneland: Bringing heterogeneous GPU computing to the computational science community

Jeffrey S. Vetter; Richard Glassbrook; Jack Dongarra; Karsten Schwan; Bruce Loftis; Stephen McNally; Jeremy Meredith; James Rogers; Philip C. Roth; Kyle Spafford; Sudhakar Yalamanchili

doi:10.1109/MCSE.2011.83

Keeneland: Bringing heterogeneous GPU computing to the computational science community

Jeffrey S. Vetter
, Richard Glassbrook
, Jack Dongarra
, Karsten Schwan
, Bruce Loftis
, Stephen McNally
, Jeremy Meredith
, James Rogers
, Philip C. Roth
, Kyle Spafford
, Sudhakar Yalamanchili

Research output: Contribution to journal › Article › peer-review

92 Scopus citations

Abstract

The Keeneland project's goal is to develop and deploy an innovative, GPU-based high-performance computing system for the NSF computational science community.

Original language	English
Article number	5999785
Pages (from-to)	90-95
Number of pages	6
Journal	Computing in Science and Engineering
Volume	13
Issue number	5
DOIs	https://doi.org/10.1109/MCSE.2011.83
State	Published - 2011

Funding

Keeneland is funded by the US National Science Foundation’s Office of Cyberin- frastructure under award 0910735. The Keeneland team includes members from the Georgia Institute of Technology, Oak Ridge National Laboratory, and the University of Tennessee at Knoxville.

Keywords

GPU
Graphics processor
High-performance computing
computational science
emerging architectures
heterogeneous processors

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10.1109/MCSE.2011.83

Cite this

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abstract = "The Keeneland project's goal is to develop and deploy an innovative, GPU-based high-performance computing system for the NSF computational science community.",

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AU - McNally, Stephen

AU - Meredith, Jeremy

AU - Rogers, James

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Keeneland: Bringing heterogeneous GPU computing to the computational science community

Abstract

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Keywords

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