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Program analysis of overlap area usage in self-similar parallel programs

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Languages and Compilers for Parallel Computing (LCPC 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1366))

Abstract

Highly parallel computers have the memory capacity and potential speed to perform very high-resolution time-dependent calculations. Parallel computers with hundreds of fast processors require highly scalable algorithms to avoid wasting expensive resources. On these machines careful attention must be given to program design to fully exploit scalable algorithms. We have proposed a programming model that can express a class of scalable algorithms. In this paper we show how compiler analysis can ease the task of writing programs within this programming model. We have used this programming model manually and have achieved good results in reducing communication and synchronization overhead. We describe early results of a prototype compiler transformation tool called TOPAZ that applies this analysis to real programs.

This work was supported by the Office of Naval Research under grant no. N0001494-1-0846 and by the National Science Foundation under grant no. ASC-9523480.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Minnesota, MN 55455, Minneapolis

    Aaron Sawdey & Matthew O'Keefe

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  1. Aaron Sawdey
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  2. Matthew O'Keefe
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Editor information

Zhiyuan Li Pen-Chung Yew Siddharta Chatterjee Chua-Huang Huang P. Sadayappan David Sehr

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© 1998 Springer-Verlag Berlin Heidelberg

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Sawdey, A., O'Keefe, M. (1998). Program analysis of overlap area usage in self-similar parallel programs. In: Li, Z., Yew, PC., Chatterjee, S., Huang, CH., Sadayappan, P., Sehr, D. (eds) Languages and Compilers for Parallel Computing. LCPC 1997. Lecture Notes in Computer Science, vol 1366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032685

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  • DOI: https://doi.org/10.1007/BFb0032685

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64472-9

  • Online ISBN: 978-3-540-69788-6

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