Publication:
Scientific Computing on Streaming Processors

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dc.contributor.advisorBlair Perot
dc.contributor.authorMenon, Sandeep
dc.contributor.departmentUniversity of Massachusetts Amherst
dc.contributor.departmentMechanical Engineering
dc.date2023-09-22T19:38:07.000
dc.date.accessioned2024-04-26T20:47:20Z
dc.date.available2024-04-26T20:47:20Z
dc.date.issued2008-01-01
dc.date.submitted2008-September
dc.description.abstractHigh performance streaming processors have achieved the distinction of being very efficient and cost-effective in terms of floating-point capacity, thereby making them an attractive option for scientific algorithms that involve large arithmetic effort. Graphics Processing Units (GPUs) are an example of this new initiative to bring vector-processing to desktop computers; and with the advent of 32-bit floating-point capabilities, these architectures provide a versatile platform for the efficient implementation of such algorithms. To exemplify this, the implementation of a Conjugate Gradient iterative solver for PDE solutions on unstructured two- and three-dimensional grids using such hardware is described. This would greatly benefit applications such as fluid-flow solvers which seek efficient methods to solve large sparse systems. The implementation has also been successfully incorporated into an existing object oriented CFD code, thereby enabling the option of using these architectures as efficient math co-processors in the computational framework.
dc.description.degreeMaster of Science in Mechanical Engineering (M.S.M.E.)
dc.identifier.doihttps://doi.org/10.7275/582206
dc.identifier.urihttps://hdl.handle.net/20.500.14394/45439
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1241&context=theses&unstamped=1
dc.source.statuspublished
dc.subjectMechanical engineering
dc.subjectCFD
dc.subjectGPU
dc.titleScientific Computing on Streaming Processors
dc.typeopen
dc.typearticle
dc.typethesis
digcom.contributor.authorisAuthorOfPublication|email:sandeepm@engin.umass.edu|institution:University of Massachusetts Amherst|Menon, Sandeep
digcom.identifiertheses/192
digcom.identifier.contextkey582206
digcom.identifier.submissionpaththeses/192
dspace.entity.typePublication
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