Efficient Machine-Independent Programming of High-Performance Multiprocessors

dc.contributor.authorTseng, Chau-Wenen_US
dc.date.accessioned2004-05-31T21:04:41Z
dc.date.available2004-05-31T21:04:41Z
dc.date.created1995-10en_US
dc.date.issued1998-10-15en_US
dc.description.abstractParallel computing is regarded by most computer scientists as the most likely approach for significantly improving computing power for scientists and engineers. Advances in programming languages and parallelizing compilers are making parallel computers easier to use by providing a high-level portable programming model that protects software investment. However, experience has shown that simply finding parallelism is not always sufficient for obtaining good performance from today's multiprocessors. The goal of this project is to develop advanced compiler analysis of data and computation decompositions, thread placement, communication, synchronization, and memory system effects needed in order to take advantage of performance-critical elements in modern parallel architectures.en_US
dc.format.extent150780 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/451
dc.language.isoen_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
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3545en_US
dc.titleEfficient Machine-Independent Programming of High-Performance Multiprocessorsen_US
dc.typeTechnical Reporten_US

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