Abstract
We consider a certain class of parallel program segments in which the order of messages sent affects the completion time. We give characterization of these parallel program segments and propose a solution to minimize the completion time. With a sample parallel program, we experimentally evaluate the effect of the solution on a PC cluster.
This work is partially supported by the Scientific and Technical Research Council of Turkey (TUBITAK) under grant 103E028.
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Burns, G., Daoud, R., Vaigl, J.: LAM: an open cluster environment for MPI. In: Ross, J.W. (ed.) Proceedings of Supercomputing Symposium 1994, University of Toronto, pp. 379–386 (1994)
Ca̧talyürek, Ü.V., Aykanat, C.: Hypergraph-partitioning based decomposition for parallel sparse-matrix vector multiplication. IEEE Transactions on Parallel and Distributed Systems 10(7), 673–693 (1999)
Ca̧talyürek, Ü.V., Aykanat, C.: A fine-grain hypergraph model for 2d decomposition of sparse matrices. In: Proceedings of International Parallel and Distributed Processing Symposium (IPDPS) (April 2001)
Ca̧talyürek, Ü.V., Aykanat, C.: A hypergraph-partitioning approach for coarsegrain decomposition. In: Proceedings of Scientific Computing 2001 (SC 2001), Denver, Colorado, November 2001, pp. 10–16 (2001)
Dongarra, J.J., Dunigan, T.H.: Message-passing performance of various computers. Concurrency—Practice and Experience 9(10), 915–926 (1997)
Gropp, W., Lusk, E.: Reproducible measurements of mpi performance characteristics. Tech. Rept. ANL/MCS-P755-0699, Argonne National Lab. (June 1999)
Hendrickson, B., Kolda, T.G.: Graph partitioning models for parallel computing. Parallel Computing 26, 1519–1534 (2000)
Hendrickson, B., Kolda, T.G.: Partitioning rectangular and structurally unsymmetric sparse matrices for parallel processing. SIAM J. Sci. Comput. 21(6), 2048–2072 (2000)
Sterling, T., Savarese, D., Becker, D.J., Dorband, J.E., Ranaweke, U.A., Packer, C.V.: BEOWULF: A parallel workstation for scientific computation. In: Proceedings of the 24th International Conference on Parallel Processing (1995)
Uçar, B., Aykanat, C.: Minimizing communication cost in fine-grain partitioning of sparse matrices. In: Yazıcı, A., Sȩner, C. (eds.) Proc. ISCISXVIII-18th Int. Symp. on Computer and Information Sciences, Antalya, Turkey (November 2003)
Uçar, B., Aykanat, C.: Encapsulating multiple communication-cost metrics in partitioning sparse rectangular matrices for parallel matrix-vector multiplies. SIAM J. Sci. Comput. 25(6), 1837–1859 (2004)
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Uçar, B., Aykanat, C. (2004). A Message Ordering Problem in Parallel Programs. In: Kranzlmüller, D., Kacsuk, P., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2004. Lecture Notes in Computer Science, vol 3241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30218-6_23
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DOI: https://doi.org/10.1007/978-3-540-30218-6_23
Publisher Name: Springer, Berlin, Heidelberg
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