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Data-race detection in transactions-everywhere parallel programming

Author(s)
Huang, Kai, 1980-
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Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Charles E. Leiserson.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
This thesis studies how to perform dynamic data-race detection in programs using "transactions everywhere", a new methodology for shared-memory parallel programming. Since the conventional definition of a data race does not make sense in the transactions-everywhere methodology, this thesis develops a new definition based on a weak assumption about the correctness of the target program's parallel-control flow, which is made in the same spirit as the assumption underlying the conventional definition. This thesis proves, via a reduction from the problem of 3cnf-formula satisfiability, that data-race detection in the transactions-everywhere methodology is an NP-complete problem. In view of this result, it presents an algorithm that approximately detects data races. The algorithm never reports false negatives. When a possible data race is detected, the algorithm outputs simple information that allows the programmer to efficiently resolve the root of the problem. The algorithm requires running time that is worst-case quadratic in the size of a graph representing all the scheduling constraints in the target program.
Description
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
 
Includes bibliographical references (p. 69-72).
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Date issued
2003
URI
http://hdl.handle.net/1721.1/16964
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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