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Source Code and Task Graphs in Program Optimization

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Abstract

We present scheduling techniques considering the source code as well as the task graph of a parallel program. This approach allows to chose the proper scheduling algorithm and to estimate the execution time of the target program. We demonstrate this on stencil computations and their optimizations.

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References

  1. R. Andonov, S. Rajopadhye, and N. Yanev. Optimal orthogonal tiling. Lecture Notes in Computer Science, 1470, 1998.

    Google Scholar 

  2. D. Culler, R. Karp, D. Patterson, A. Sahay, K.E. Schauser, E. Santos, R. Subramonian, and T. von Eicken. LogP: Towards a realistic model of parallel computation. In 4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPOPP 93), pp 1–12, 1993. SIGPLAN Notices (28) 7.

    Google Scholar 

  3. B. Di Martino and G. Ianello. Parallelization of non-simultaneous iterative methods for systems of linear equations. In Parallel Processing: CONPAR 94-VAPP VI, volume 854 of Lecture Notes in Computer Science, pp 253–264. Springer, 1994.

    Google Scholar 

  4. P. Feautrier. Some efficient solutions to the affine scheduling problem. I. one dimensional time. International Journal of Parallel Programming, 21(5):313–347, October 1992.

    Article  MATH  MathSciNet  Google Scholar 

  5. A. Gerasoulis and T. Yang. On the granularity and clustering of directed acyclic task graphs. IEEE Transactions on Parallel and Distributed Systems, 4:686–701, June 1993.

    Article  Google Scholar 

  6. J.A. Hoogreven, J.K. Lenstra, and B. Veltmann. Three, four, five, six or the complexity of scheduling with communication delays. Operations Research Letters, 16:129–137, 1994.

    Article  MathSciNet  Google Scholar 

  7. H. Jung, L.M. Kirousis, and P. Spirakis. Lower bounds and efficient algorithms for multiprocessor scheduling of directed acyclic graphs with communication delays. Information and Computation, 105:94–104, 1993.

    Article  MATH  MathSciNet  Google Scholar 

  8. I. Kort and D. Trystram. Scheduling fork graphs under logp with an unbounded number of processors. In Europar’ 98, pp 940–943, 1998.

    Google Scholar 

  9. W. Löwe and W. Zimmermann. Scheduling balanced task-graphs to logp-machines. Parallel Computing, 26(9):1083–1108, 2000.

    Article  MATH  MathSciNet  Google Scholar 

  10. C.H. Papadimitriou and M. Yannakakis. Towards an architecture-independent analysis of parallel algorithms. SIAM Journal on Computing, 19(2):322–328, 1990.

    Article  MATH  MathSciNet  Google Scholar 

  11. J. Siddhiwala and L.-F. Cha. Path-based task replication for scheduling with communication cost. In Proceedings of the International Conference on Parallel Processing, volume II, pp 186–190, 1995.

    Google Scholar 

  12. J. Verriet. Scheduling out-trees of height 1 in the LogP-Model Parallel Computing, 26(9):1065–1082, 2000.

    Article  MATH  MathSciNet  Google Scholar 

  13. M. Wolfe. More iteration space tiling. In ACM, editor, Proceedings, Supercomputing’ 89: November 13–17, 1989, Reno, Nevada, pp 655–664, New York, NY 10036, USA, 1989. ACM Press.

    Google Scholar 

  14. Michael Wolfe. Iteration space tiling for memory hierarchies. In Gary Rodrigue, editor, Proceedings of the 3rd Conference on Parallel Processing for Scientific Computing, pp 357–361, Philadelphia, PA, USA, December 1989. SIAM Publishers.

    Google Scholar 

  15. W. Zimmermann and W. Löwe. An approach to machine-independent parallel programming. In Parallel Processing: CONPAR 94-VAPP VI, volume 854 of Lecture Notes in Computer Science, pages 277–288. Springer, 1994.

    Google Scholar 

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Löwe, W., Zimmermann, W., Dickert, S., Eisenbiegler, J. (2001). Source Code and Task Graphs in Program Optimization. In: Hertzberger, B., Hoekstra, A., Williams, R. (eds) High-Performance Computing and Networking. HPCN-Europe 2001. Lecture Notes in Computer Science, vol 2110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48228-8_28

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  • DOI: https://doi.org/10.1007/3-540-48228-8_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42293-8

  • Online ISBN: 978-3-540-48228-4

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