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Published Articles >> Table of Contents >> Abstract
Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03)
p. 10
Evaluation of MPI Implementations on Grid-connected Clusters using an Emulated WAN Environment
Motohiko Matsuda, Grid Technology Research Center, AIST
Tomohiro Kudoh, Grid Technology Research Center, AIST
Yutaka Ishikawa, University of Tokyo
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCGRID.2003.1199347
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| Abstract |
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The MPICH-SCore high performance communication library for cluster computing is integrated into the MPICH-
G2 library in order to adapt PC clusters to a Grid environment. The integrated library is called MPICH-G2/SCore.
In addition, for the purpose of comparison with other approaches, MPICH-SCore itself is extended to encapsulate
its network packet into a UDP packet so that packets are
delivered via L3 switches. This extension is called UDP-
encapsulated MPICH-SCore. In this paper, three implementations of the MPI library, UDP-encapsulated MPICH-SCore, MPICH-G2/SCore, and MPICH-P4, are evaluated
using an emulated WAN environment where two clusters,
each consisting of sixteen hosts,are connected by a router
PC. The router PC controls the latency of message delivery between clusters, and the added latency is varied from
1 millisecond to 4 milliseconds in round-trip time. Experiments are performed using the NAS Parallel Benchmarks,
which show UDP-encapsulated MPICH-SCore most often
performs better than other implementations. However, the
differences are not critical for the benchmarks. The preliminary results show that the performance of the LU benchmark scales up linearly with under 4 millisecond round-trip
latency. The CG and MG benchmarks show the scalability
of 1.13 and 1.24 times with 4 millisecond round-trip latency,
respectively.
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 Additional Information
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Citation:
Motohiko Matsuda, Tomohiro Kudoh, Yutaka Ishikawa,
"Evaluation of MPI Implementations on Grid-connected Clusters using an Emulated WAN Environment,"
ccgrid,
p. 10,
Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03),
2003
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