DocumentCode
2719507
Title
Impact of on-demand connection management in MPI over VIA
Author
Wu, Jiesheng ; Liu, Jiuxing ; Wyckoff, Pete ; Panda, Dhabaleswar
Author_Institution
Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
fYear
2002
fDate
2002
Firstpage
152
Lastpage
159
Abstract
Designing scalable and efficient Message Passing Interface (MPI) implementations for emerging cluster interconnects such as VIA-based networks and InfiniBand is important for building next generation clusters. In this paper, we address the scalability issue in implementation of MPI over VIA by an on-demand connection management mechanism. On-demand connection management is designed to limit the use of resources by applications that absolutely require them. We address design issues of incorporating the on-demand connection mechanism into an implementation of MPI over VIA. A complete implementation was done for MVICH over both cLAN VIA and Berkeley VIA. Performance evaluation on a set of microbenchmarks and NAS parallel benchmarks demonstrates that the on-demand mechanism can increase the scalability of MPI implementations by limiting the use of resources as needed by applications. It also shows that the on-demand mechanism delivers comparable or better performance as the static mechanism in which a fully-connected process model usually exists in the MPI implementations. These results demonstrate that the on-demand connection mechanism is a feasible solution to increase the scalability of MPI implementations over VIA- and InfiniBand-based networks.
Keywords
application program interfaces; message passing; network interfaces; performance evaluation; workstation clusters; Berkeley VIA; InfiniBand-based networks; MPI; MVICH; NAS parallel benchmarks; VIA-based networks; cLAN VIA; cluster interconnects; microbenchmarks; next generation clusters; on-demand connection management; performance evaluation; scalability; static mechanism; Access protocols; Computer architecture; Computer interfaces; Computer networks; Hardware; Information science; Message passing; Next generation networking; Scalability; Supercomputers;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing, 2002. Proceedings. 2002 IEEE International Conference on
Print_ISBN
0-7695-2066-9
Type
conf
DOI
10.1109/CLUSTR.2002.1137740
Filename
1137740
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