A. Dinning
ABSTRACT
One of the major disadvantages of parallel programming with shared memory is the nondeterministic behavior caused by uncoordinated access to shared variables, known as access anomalies. Monitoring program execution to detect access anomalies is a promising and relatively unexplored approach to this problem. We present a new algorithm, referred to as task recycling, for detecting anomalies, and compare it to an existing algorithm. Empirical results indicate several significant conclusions: (i) While space requirements are bounded by Ο(T × V), where T is the maximum number of threads that may potentially execute in parallel and V is the number of variable monitored, for typical programs space requirements are on average Ο(V). (ii) Task recycling is more efficient in terms of space requirements and often in performance. (iii) The general approach of monitoring to detect access anomalies is practical.
- 1.Todd R. Allen and David A. Padua. Debugging Fortran on a. Shared Memory Machine. In Proceedings of 1he International Conference on Parallel Processing, pages 721-717, Aug 1987.Google Scholar
- 2.David Callahan and Jaspai Subhlok. Static Analysis of Low Level Synchronization. In Proceedings on the SIGPLAN Workshop on Parallel and Distributed Debugging, pages 100-111, May 1988. Google ScholarDigital Library
- 3.Jong-Deok Choi, Barton P. Miller, and Robert Netzer. Techniques for Debugging Parallel Programs with Flowback Analysis. Technical Report, University of Wisconson, Aug 1988.Google Scholar
- 4.Anne Dinning and Edith Schonberg. Aa Evaluation of Monitoring Algorithms for Access Anomaly Detection. Technical Report Ultracornputer Note #163, New York University, July 1989.Google Scholar
- 5.Perry A. Emrath and David A. Padua. Automatic Detection of Nondeterminancy in Parallel Programs. In Proceedings on the SIGPLAN Workshop on Parallel and Distributed Debugging, pages 89- 99, May 1988. Google ScholarDigital Library
- 6.Allan Gottlieb. An Overview of the NYU Ultracomputer Project. In J.J. Dongarra, editor, Experimental Parallel Computing Architectures, pages 25 - 95, Elsevier, 1988.Google Scholar
- 7.Leslie Lamport. Time, clocks, and the ordering of events in a distributed system. Communications of the A CM, 21(7), Jul 1978. Google ScholarDigital Library
- 8.Barton P. Miller and 3ong-Deok Choi. A Mechanism for Efficient Debugging of Parallel Programs. In Proceedings on the SIGPLAN Workshop on Parallel and Distributed Debugging, May 1988. Google ScholarDigital Library
- 9.Itzhak Nudler and L#rry Rudolph. Iadetermiaaacy Considered Harmful. 1988.Google Scholar
- 10.Itzhak Nudler and Larry Rudolph. Tools for the Efficient Development of Efficient Parallel Programs. In 1#t Israeli Conference on Computer System En. gineering, 1988.Google Scholar
- 11.Edith Schonberg. On-The-Fly Detection of Access Anomalies. In Proceedings on the SIGPLAN Conference on Programming Language Design and Implementation, Jun 1989. Google ScholarDigital Library
- 12.Marc Snir. Private correspondence. 1988.Google Scholar
Index Terms
- An empirical comparison of monitoring algorithms for access anomaly detection
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