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Mapping Hypercube Computations onto Partitioned Optical Passive Star Networks

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High Performance Computing - HiPC 2003 (HiPC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2913))

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Abstract

This paper shows that an n=2k processor Partitioned Optical Passive Stars (POPS) network with g groups and d processors per group can simulate either a mono-directional move of an n processor hypercube or a bi-directional move of an n/2 processor hypercube using one slot when d=1 and ⌈d/g ⌉ slots when d>1. Moreover, as a direct application of the simulation, it is shown how a POPS(d, g) network, n=dg and d ≤ q, can compute the prefix sums of n data values in log2 n + O(1) slots, faster than the best previously known ad-hoc algorithm for this problem.

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© 2003 Springer-Verlag Berlin Heidelberg

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Mei, A., Rizzi, R. (2003). Mapping Hypercube Computations onto Partitioned Optical Passive Star Networks. In: Pinkston, T.M., Prasanna, V.K. (eds) High Performance Computing - HiPC 2003. HiPC 2003. Lecture Notes in Computer Science, vol 2913. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24596-4_11

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  • DOI: https://doi.org/10.1007/978-3-540-24596-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20626-2

  • Online ISBN: 978-3-540-24596-4

  • eBook Packages: Springer Book Archive

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