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dc.contributor.advisorLuke, Edward
dc.contributor.authorZhang, Yang
dc.date2004
dc.date.accessioned2019-10-10T13:01:41Z
dc.date.available2019-10-10T13:01:41Z
dc.date.issued2004-04-06
dc.identifier.urihttps://hdl.handle.net/11668/16376
dc.description.abstractResource management is a critical part in high-performance computing software. While management of processing resources to increase performance is the most critical, efficient management of memory resources plays an important role in solving large problems. This thesis research seeks to create an effective dynamic memory management scheme for a declarative data-parallel programming system. In such systems, some sort of automatic resource management is a requirement. Using the Loci framework, this thesis research focuses on exploring such opportunities. We believe there exists an automatic memory management scheme for such declarative data-parallel systems that provides good compromise between memory utilization and performance. In addition to basic memory management, this thesis research also seeks to develop methods that take advantages of the cache memory subsystem and explore balances between memory utilization and parallel communication costs in such declarative data-parallel frameworks.
dc.publisherMississippi State University
dc.subject.lcshMemory management (Computer science)
dc.subject.lcshDynamic programming.
dc.subject.lcshDeclarative programming.
dc.subject.lcshParallel programming (Computer science)
dc.subject.othergraph processing
dc.subject.otherparallel programming
dc.subject.otherdeclarative languages
dc.subject.othersoftware synthesis
dc.titleDynamic memory management for the Loci framework
dc.typeThesis
dc.publisher.departmentDepartment of Computer Science and Engineering.
dc.date.authorbirth1979
dc.subject.degreeMaster of Science
dc.subject.majorComputer Science
dc.contributor.committeeHansen, Eric
dc.contributor.committeeDandass, Yoginder


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