NDLI: The analysis and optimization of collective communications on a Beowulf cluster

Content Provider	IEEE Xplore Digital Library
Author	Wi Bing Tan Strazdins, P.
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia (Wi Bing Tan; Strazdins, P.)
Abstract	This paper gives a performance analysis of the all-gather, all-reduce and reduce-scatter collective communication operations on a Beowulf cluster. This cluster has a contention-free switch-based network with multiple network interface cards per node, permitting overlapping of message transmission under certain circumstances. As well as considering traditional algorithms developed previously for parallel computers with vendor-specific networks, we also examine simpler algorithms made up of repeated sub-operations, such as broadcasts. We find that for the kind of network on the Beowulf cluster, a somewhat different performance modelling of the algorithms is required, and that some simple simulation tools had to be developed in order to fully understand some of the algorithms' performance. Our results indicate that the LAM MPI implementations for these operations may be significantly improved, and the algorithms with data exchange and potential contention perform well on the cluster. Furthermore, they indicate that algorithms permitting message overlap are slightly favoured, with a new and simple algorithm which modestly out-performs the best traditional algorithms in the case of Reduce-Scatter. With the exception that the degree of overlapping proved difficult to estimate, our performance models fitted closely with the results, and together with the simulation tools, permit a detailed understanding of the cluster's communication pattern performance.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Parallel Process. Nat. Central Univ. Ministr. Educ., ROCl Nat. Sci. Council, ROC
Starting Page	659
Ending Page	666
File Size	336506
Page Count	8
File Format	PDF
ISBN	0769517609
ISSN	15219097
DOI	10.1109/ICPADS.2002.1183497
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Concurrent computing Performance analysis Communication switching Network interfaces Computer networks Broadcasting Pattern analysis Communication networks Computer science
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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