NDLI: Optimization of MPI Collectives on Clusters of Large-Scale SMPs

Content Provider	IEEE Xplore Digital Library
Author	Sistare, S. Vaart, R.v. Loh, E.
Copyright Year	1999
Description	Author affiliation: Sun Microsystems, Inc. (Sistare, S.)
Abstract	Implementors of message-passing libraries have focused on optimizing point-to-point protocols and have largely ignored the performance of collective operations. In addition, algorithms for collectives have been tuned to run well on networks of uni-processor machines, ignoring the performance that may be gained on large-scale SMPs in wide-spread use as compute nodes. This is unfortunate, because the high backplane bandwidths and shared-memory capabilities of large SMPs are a perfect match for the requirements of collectives. We present new algorithms for MPI collective operations that take advantage of the capabilities of fat-node SMPs and provide models that show the characteristics of the old and new algorithms. Using the SunTM MPI library, we present results on a 64-way StarfireTM SMP and a 4-node cluster of 8-way Sun EnterpriseTM 4000 nodes that show performance improvements ranging typically from 2x to 5x for the collectives we studied.
Starting Page	23
Ending Page	23
File Size	131014
Page Count	1
File Format	PDF
ISBN	1581130910
DOI	10.1109/SC.1999.10010
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-11-13
Access Restriction	Subscribed
Rights Holder	Non IEEE
Subject Keyword	Large-scale systems Switched-mode power supply Backplanes Bandwidth Clustering algorithms Network interfaces Sun Libraries Computer networks Computer buffers collective MPI MPICH SMP clustering shared memory
Content Type	Text
Resource Type	Article

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Optimization of MPI Collectives on Clusters of Large-Scale SMPs

Optimization of MPI Collectives on Clusters of Large-Scale SMPs