A parallel communication architecture for the language SequenceL / by Julian B. Russbach.

dc.creatorRussbach, Julian B
dc.date.available2011-02-19T00:05:17Z
dc.date.issued2004-12
dc.degree.departmentComputer Scienceen_US
dc.description.abstractSequenceL is a language that discovers all parallelisms in a program from the nature of its execution cycle. This suggests the language is a good candidate for execution in a distributed memory, high performance computing environment. However, unrestricted execution of SequenceL parallelisms in distributed memory can lead to problems of granularity and load imbalance associated with the distribution of fully parallelized program and data. This thesis is a proof of concept investigation into a token ring communication architecture to load balance SequenceL execution in a distributed memory environment. The thesis provides a background over previous work on SequenceL in distributed memory, research into dynamic load balancing and token rings, and a methodology for construction of the communication architecture. This thesis has achieved the following results: • A non-recursive C SequenceL interpreter written and tested on a set of SequenceL programs. • A working distributed memory communication architecture and parallelized SequenceL execution • A distributed memory representation of SequenceL • A method of enforcing persistent SequenceL data and programs • Performance measurements of SequenceL programs executed on the communication architecture
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/21039en_US
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.rights.availabilityUnrestricted.
dc.subjectMagnetic memory (Computers)en_US
dc.subjectRing networks (Computer networks)en_US
dc.subjectProgramming languages (Electronic computers)en_US
dc.titleA parallel communication architecture for the language SequenceL / by Julian B. Russbach.
dc.typeThesis
thesis.degree.departmentComputer Science
thesis.degree.disciplineComputer Science
thesis.degree.grantorTexas Tech University
thesis.degree.levelMasters
thesis.degree.nameM.S.

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
31295019600856.pdf
Size:
4.97 MB
Format:
Adobe Portable Document Format