Adjusting process count on demand for petascale global optimization⋆

Simple item page
dc.contributor.authorRadcliffe, Nicholas R.en
dc.contributor.authorWatson, Layne T.en
dc.contributor.authorSosonkina, Mashaen
dc.contributor.authorHaftka, Raphael T.en
dc.contributor.authorTrosset, Michael W.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:04Zen
dc.date.available2013-06-19T14:36:04Zen
dc.date.issued2011en
dc.description.abstractThere are many challenges that need to be met before efficient and reliable computation at the petascale is possible. Many scientific and engineering codes running at the petascale are likely to be memory intensive, which makes thrashing a serious problem for many petascale applications. One way to overcome this challenge is to use a dynamic number of processes, so that the total amount of memory available for the computation can be increased on demand. This paper describes modifications made to the massively parallel global optimization code pVTdirect in order to allow for a dynamic number of processes. In particular, the modified version of the code monitors memory use and spawns new processes if the amount of available memory is determined to be insufficient. The primary design challenges are discussed, and performance results are presented and analyzed.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00001176/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00001176/01/dirPC11.pdfen
dc.identifier.trnumberTR-11-21en
dc.identifier.urihttp://hdl.handle.net/10919/19406en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectParallel computationen
dc.titleAdjusting process count on demand for petascale global optimization⋆en
dc.typeTechnical reporten
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
dirPC11.pdf
Size:
261.94 KB
Format:
Adobe Portable Document Format
Download

Collections

Computer Science Technical Reports