2026-09-19T19:26:31Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/459862022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Samuel Madden.
Craig, Michael B
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2009-06-30T16:55:52Z
2009-06-30T16:55:52Z
2008
2008
http://hdl.handle.net/1721.1/45986
341597940
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references (p. 59-61).
Stream-oriented programs allow different opportunities for optimization than procedural programs. Moreover, as compared to purely synchronous stream-oriented programs, optimizing for asynchronous stream-based programs is difficult, owing to the latters' inherent unpredictability. In this thesis, we present several compiler optimizations for WaveScript, a high-level, functional, stream-oriented programming language. We also present a framework for using profiling of stream-graph execution to drive optimizations; two of the optimizations use this profiled information to generate noticeable performance benefits for real-world applications written in WaveScript. Thus, it is shown that profiling presents an important avenue by which to optimize asynchronous stream-based programs.
by Michael B. Craig.
M.Eng.
61 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Compiler optimizations for an asynchronous stream-oriented programming language
Thesis
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