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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weikuan Yu Rao, N.S.V. Vetter, J.S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Comput. Sci. & Math., Oak Ridge Nat. Lab., Oak Ridge, TN (Weikuan Yu; Rao, N.S.V.; Vetter, J.S.) |
| Abstract | InfiniBand architecture (IBA) has emerged as a standard system-area interconnect in industry for both data-center and high performance computing. While IBA continues to evolve with more capabilities, it has yet to permeate the field of grid and pervasive computing across wide area. This requires a software infrastructure to take the full advantage of IBA networking mechanisms without being dwarfed by the long distances. In this paper, we present a detailed analysis of InfiniBand transport services for their suitability to data transfer and message passing in the wide area. Three of the common InfiniBand transport services have been examined, including reliable connection (RC), unreliable connection (UC), and unreliable datagram (UD). Our analysis indicates that UC and UD are better suited to provide high bandwidth for MPI on wide-area networks (WAN). We have also demonstrated that the current existing MPI implementations, designed over RC and UD, can be tuned to provide improved MPI bandwidth on WAN. Furthermore, by developing a UC-based MPI implementa-tion, we have shown that, at a distance of 8600 miles, MPI over UC can improve MPI bandwidth by as much as 100%. |
| Starting Page | 233 |
| Ending Page | 240 |
| File Size | 1655697 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769531878 |
| DOI | 10.1109/NAS.2008.65 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Protocols InfiniBand WAN Bandwidth Computer architecture MPI Throughput Distance measurement Reliability Tuning Longbow |
| Content Type | Text |
| Resource Type | Article |
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