Parallel I/O for Shared Memory Applications using OpenMP

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dc.contributor.advisorGabriel, Edgar
dc.contributor.committeeMemberChapman, Barbara M.
dc.contributor.committeeMemberSubhlok, Jaspal
dc.contributor.committeeMemberJohnsson, Lennart
dc.contributor.committeeMemberHuang, Lei
dc.creatorMehta, Kshitij V. 1983-
dc.date.accessioned2013-12-02T22:50:50Z
dc.date.available2013-12-02T22:50:50Z
dc.date.createdAugust 2013
dc.date.issued2013-08
dc.date.updated2013-12-02T22:50:56Z
dc.description.abstractI/O is a major time-limiting factor in high performance computing (HPC) applications. The combined effects of hard drive latency and bandwidth make I/O the slowest operation in a system. A lot of work has been done in the field of parallel I/O for scientific computing, specially for distributed memory machines. As shared memory systems gain popularity with the increasing number of cores in a node, implementing efficient parallel I/O for shared memory machines has become an important challenge. Currently, popular shared memory programming models like OpenMP do not provide a framework for implementing parallel I/O. This thesis provides a parallel I/O specification for shared memory architecture. In particular, focus has been laid on implementing parallel I/O for OpenMP. In the process, the characteristics of shared memory machines and the behavior of parallel file systems have been studied and an effort has been made to optimize parallel I/O. Also, this research provides insights into semantic analysis of data using the HDF5 technology suite.
dc.description.departmentComputer Science, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/468
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectHigh performance computing
dc.subjectHPC
dc.subjectOpenMP
dc.subjectParallel
dc.subjectParallel I/O
dc.subjectHdf5
dc.subject.lcshComputer science
dc.titleParallel I/O for Shared Memory Applications using OpenMP
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCollege of Natural Sciences and Mathematics
thesis.degree.departmentComputer Science, Department of
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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