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A Framework for Optimizing Parallel I/O

dc.contributor.authorBennett, Roberten_US
dc.contributor.authorBryant, Kelvin S.en_US
dc.contributor.authorSussman, Alanen_US
dc.contributor.authorDas, Rajaen_US
dc.contributor.authorSaltz, Joelen_US
dc.description.abstractThere has been a great deal of recent interest in parallel I/O. This paper discusses issues in the design and implementation of a portable I/O library designed to optimize the performance of multiprocessor architectures that include multiple disks or disk arrays. The major emphasis of the paper is on optimizations that are made possible by the use of collective I/O, so that I/O requests for multiple processors can be combined to improve performance. Performance measurements from benchmarking our implementation of an I/O library that currently performs collective local optimizations, called Jovian, on three application templates are also presented.en_US
dc.format.extent1527377 bytes
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3417en_US
dc.titleA Framework for Optimizing Parallel I/Oen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtComputer Science Department Technical Reportsen_US

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