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Efficient scheduling of scientific workflows in a high performance computing cluster
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Authors:
Roger S. Barga
Microsoft Research, Redmond, WA, USA
Dan Fay
Microsoft Research, Redmond, WA, USA
Dean Guo
Microsoft Research, Redmond, WA, USA
Steven Newhouse
Microsoft Corporation, Redmond, WA, USA
Yogesh Simmhan
Microsoft Research, Redmond, WA, USA
Alex Szalay
The Johns Hopkins University, Baltimore, MD, USA
2008 Article
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Published in:
· Proceeding
CLADE '08 Proceedings of the 6th international workshop on Challenges of large applications in distributed environments
Pages 63-68
ACM
New York, NY
, USA
©2008
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ISBN: 978-1-60558-156-9
doi>
10.1145/1383529.1383545
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HPDC'13
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Tags:
algorithms
data abstraction
data intensive
design
domain-specific architectures
escience
experimentation
measurement
performance
scheduling
scientific workflow
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