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A comparison of list schedules for parallel processing systems

Authors:

Thomas L. Adam,

K. M. Chandy,

J. R. DicksonAuthors Info & Claims

Communications of the ACM, Volume 17, Issue 12

Pages 685 - 690

https://doi.org/10.1145/361604.361619

Published: 01 December 1974 Publication History

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Abstract

The problem of scheduling two or more processors to minimize the execution time of a program which consists of a set of partially ordered tasks is studied. Cases where task execution times are deterministic and others in which execution times are random variables are analyzed. It is shown that different algorithms suggested in the literature vary significantly in execution time and that the B-schedule of Coffman and Graham is near-optimal. A dynamic programming solution for the case in which execution times are random variables is presented.

References

[1]

Coffman, E. G., and Denning, P. J. Operating Systems Theory. Prentice-Hall, Englewood Cliffs, N.J. (to be published).

Digital Library

Google Scholar

[2]

Ramamoorthy, C.V., Chandy, K.M., and Gonzalez, M.J. Jr. Optimal scheduling strategies in a multi-processor system. IEEETrans. Comp. C-21, 2 (Feb. 1972), 137-146.

Digital Library

Google Scholar

[3]

Ramamoorthy, C.V., and Gonzalez, M.J. Jr. A survey of techniques for recognizing parallel processable streams in computer programs. Proc. AFIPS 1969 FJCC, Vol. 35, AFIPS Press, Montvale, N.J., pp. 1-17.

Google Scholar

[4]

Fernandez, E.B., and Bussell, B. Bounds on the number of processors and time for multiprocessor optimal schedules. IEEE Trans. Comp., C-22, 8 (Aug. 1973), 745-751.

Digital Library

Google Scholar

[5]

Chandy, K.M., and Dickson, J.R. Scheduling unidentical processors in a stochastic environment. Proc. COMPCON '72, 1972, pp. 171-174.

Google Scholar

[6]

Coffman, E.G., and Graham, R.L. Optimal scheduling for two-processor systems. Acta Informatica, 1, 3 (1972), 200--213.

Digital Library

Google Scholar

[7]

Graham, R.L. Bounds for certain multiprocessing anomalies. Bell Syst. Tech. J. (Nov. 1966), 1563-1581.

Crossref

Google Scholar

[8]

Martin, D.F., and Estrin, G. Experiments on models of computations and systems. IEEE Trans. EC, EC-16, 1 (Feb. 1967), 59-69.

Google Scholar

[9]

Gonzalez, M.J. Jr. A decentralized parallel processor system. Ph.D. Diss. U. of Texas at Austin, 1971.

Google Scholar

[10]

Krone, M. Heuristic programming applied to scheduling models. Proc. Fifth Ann. Conf. on Inform. Sci. and Syst. Elec. Eng. Dep., Princeton U., (1971), pp. 841-848.

Google Scholar

[11]

Manacher, G.K. Production and stabilization of real-time task schedulers. J. ACM 14, 3 (July 1967), 439-465.

Digital Library

Google Scholar

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Communications of the ACM Volume 17, Issue 12

Dec 1974

61 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/361604

Editor:
Robert L. Ashenhurst
Univ. of Chicago, Chicago, IL

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Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 December 1974

Published in CACM Volume 17, Issue 12

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List scheduling revisited

Analysis of Processor Allocation in Multiprogrammed, Distributed-Memory Parallel Processing Systems

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List scheduling revisited

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