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Parallel Program Model for Distributed Systems

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1908))

Abstract

In this paper, we present a new model for parallel program development called Data Driven Graph (DDG). DDG integrates scheduling to parallel program development for cluster of workstations with PVM/MPI communication. DDG API library allows users to write efficient, robust parallel programs with minimal difficulty. Our experiments demonstrate the new parallel program model with real applications.

This work was supported by the Slovak Scientific Grant Agency under Research Project No. 2/7186/20

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References

  1. V. Tran, L. Hluchy, G. Nguyen: Parallel Programming with Data Driven Model. Proc. Eight Euromicro Workshop on Parallel and Distributed Processing, Jan. 2000, Greece, pp. 205–211.

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  2. P. Kacuk, J. Cunha, G. Dosza, J. Lourenco, T. Fadgyas, T. Antao: A graphical development and debugging environment for parallel programs. Parallel Computing 22, 1997, pp. 1747–1770.

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  3. C. Coroyer, Z. Liu: Effectiveness of Heuristics and Simulated Annealing for the Scheduling of Concurrent Tasks-Am Empirical Comparison. Proc. Parallel Architectures and Languages Europe, Jun 1993, Germany, pp. 452–463.

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  4. Y. Wang, R. Morris: Load Sharing in Distributed Systems. IEEE Trans, on Computers, vol. 34, no. 3, Mar. 1985, pp. 204–217.

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  5. H. El-Rewini, T. Lewis: Distributed and Parallel Computing. Manning 1998.

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  6. B. Sharazi eds.: Scheduling and Load Balancing in Parallel and Distributed Systems. IEEE Computer Society Press 1995.

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  7. D. V. Tran: Static Task Scheduling in Distributed Systems, Proc. International Scientific Conference Electronic Computers & Informatics, pp. 228–233, Slovakia 1998.

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© 2000 Springer-Verlag Berlin Heidelberg

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Tran, V.D., Hluchy, L., Nguyen, G.T. (2000). Parallel Program Model for Distributed Systems. In: Dongarra, J., Kacsuk, P., Podhorszki, N. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2000. Lecture Notes in Computer Science, vol 1908. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45255-9_35

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  • DOI: https://doi.org/10.1007/3-540-45255-9_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41010-2

  • Online ISBN: 978-3-540-45255-3

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