Show simple item record

dc.contributor.advisorArmando Solar-Lezama.en_US
dc.contributor.authorXu, Zhileien_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2017-03-10T15:07:00Z
dc.date.available2017-03-10T15:07:00Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/107359
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 131-139).en_US
dc.description.abstractSPMD-style (single program multiple data) parallel programming, usually done with MPI, are dominant in high-performance computing on distributed memory machines. This thesis outlines a new methodology to aid in the development of SPMD-style high-performance programs. The new methodology is supported by a new language called MSL that combines ideas from generative programming and software synthesis to simplify the development process as well as to allow programmers to package complex implementation strategies behind clean high-level reusable abstractions. We propose in this thesis the key new language features in MSL and new analyses in order to support synthesis and equivalence checking for programs written in SPMD-style, as well as empirical evaluations of our new methodology.en_US
dc.description.statementofresponsibilityby Zhilei Xu.en_US
dc.format.extent139 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleMSL : a synthesis enabled language for distributed high performance computing implementationsen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc973333768en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record