Enabling High-Performance Computing as a Service

Moustafa AbdelBaky, Manish Parashar, Hyunjoo Kim, Kirk E. Jordan, Vipin Sachdeva, James Sexton, Hani Jamjoom, Zon-Yin Shae, Gergina Pencheva, Reza Tavakoli, Mary F. Wheeler

Research output: Contribution to journalArticlepeer-review

53 Scopus citations


With the right software infrastructure, clouds can provide scientists with as a service access to high-performance computing resources. An award-winning prototype framework transforms the Blue Gene/P system into an elastic cloud to run a representative HPC application. © 2012 IEEE.
Original languageEnglish (US)
Pages (from-to)72-80
Number of pages9
Issue number10
StatePublished - Oct 2012
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This research is supported in part by the National ScienceFoundation (NSF) via grant number IIP 0758566 and byan IBM Faculty Award, and was conducted under the auspicesof Rutgers University’s NSF Cloud and AutonomicComputing Center. The researchers from the Universityof Texas at Austin were partially supported by the USDepartment of Energy’s Office of Science and Office ofBasic Energy Sciences. The Center for Frontiers of SubsurfaceEnergy Security (CFSES) is a DOE Energy FrontierResearch Center, under contract no. DE-SC0001114. Theauthors gratefully thank King Abdullah University of Scienceand Technology for the use of computer time at itsSupercomputing Laboratory.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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