2026-09-19T10:46:21Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1073592026-06-16T18:52:51Zcom_1721.1_7582com_1721.1_7581col_1721.1_131022
Armando Solar-Lezama.
Xu, Zhilei
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2017-03-10T15:07:00Z
2017-03-10T15:07:00Z
2016
2016
http://hdl.handle.net/1721.1/107359
973333768
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 131-139).
SPMD-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.
by Zhilei Xu.
Ph.D.
139 pages
eng
Massachusetts Institute of Technology
MIT 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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
MSL : a synthesis enabled language for distributed high performance computing implementations
Thesis
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