Provably good race detection that runs in parallel
Name
70079267-MIT.pdf
Description
Full printable version
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5.67 MB
Format
Adobe PDF
Checksum (MD5)
b149487a993b0b8641bda1b9bf95fadf
Author(s)
Fineman, Jeremy T
Advisor(s)
Charles E. Leiserson.
Date Issued
2005
Publisher
Massachusetts Institute of Technology
Abstract
A multithreaded parallel program that is intended to be deterministic may exhibit nondeterminism clue to bugs called determinacy races. A key capability of race detectors is to determine whether one thread executes logically in parallel with another thread or whether the threads must operate in series. This thesis presents two algorithms, one serial and one parallel, to maintain the series-parallel (SP) relationships "on the fly" for fork-join multithreaded programs. For a fork-join program with T1 work and a critical-path length of T[infinity], the serial SP-Maintenance algorithm runs in O(T1) time. The parallel algorithm executes in the nearly optimal O(T1/P + PT[infinity]) time, when run on P processors and using an efficient scheduler. These SP-maintenance algorithms can be incorporated into race detectors to get a provably good race detector that runs in parallel. This thesis describes an efficient parallel race detector I call Nondeterminator-3. For a fork-join program T1 work, critical-path length T[infinity], and v shared memory locations, the Nondeterminator-3 runs in O(T1/P + PT[infinity] lg P + min [(T1 lg P)/P, vT[infinity] Ig P]) expected time, when run on P processors and using an efficient scheduler.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 93-98).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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