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Evaluating the Suitability of Commercial Clouds for NASA's High Performance Computing Applications: A Trade StudyNASA’s High-End Computing Capability (HECC) Project is periodically asked if it could be more cost effective through the use of commercial cloud resources. To answer the question, HECC’s Application Performance and Productivity (APP) team undertook a performance and cost evaluation comparing three domains: two commercial cloud providers, Amazon and Penguin, and HECC’s in-house resources—the Pleiades and Electra systems. In the study, the APP team used a combination of the NAS Parallel Benchmarks (NPB) and six full applications from NASA’s workload on Pleiades and Electra to compare performance of nodes based on three different generations of Intel Xeon processors—Haswell, Broadwell, and Skylake. Because of export control limitations, the most heavily used applications on Pleiades and Electra could not be used in the cloud; therefore, only one of the applications, OpenFOAM, represents work from the Aeronautics Research Mission Directorate and the Human and Exploration Mission Directorate. The other five applications are from the Science Mission Directorate.
Document ID
20190002611
Acquisition Source
Ames Research Center
Document Type
Other
Authors
Chang, Yan-Tyng
(CSRA, Inc. Falls Church, VA, United States)
Hood, Robert T.
(CSRA, Inc. Falls Church, VA, United States)
Jin, Haoqiang
(NASA Ames Research Center Moffett Field, CA, United States)
Heistand, Steve W.
(CSRA, Inc. Falls Church, VA, United States)
Cheung, Samson H.
(CSRA, Inc. Falls Church, VA, United States)
Djomehri, Mohammad J.
(CSRA, Inc. Falls Church, VA, United States)
Jost, Gabriele
(CSRA, Inc. Falls Church, VA, United States)
Kokron, Daniel S.
(CSRA, Inc. Falls Church, VA, United States)
Date Acquired
April 19, 2019
Publication Date
May 1, 2018
Subject Category
Computer Programming And Software
Report/Patent Number
ARC-E-DAA-TN56902
Funding Number(s)
CONTRACT_GRANT: NNA07CA29C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
High Performance
Computing
Suitability
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