SCIPVM: Parallel distributed computing on SCI workstation clusters
1999; Wiley; Volume: 11; Issue: 3 Linguagem: Inglês
10.1002/(sici)1096-9128(199903)11
ISSN1096-9128
AutoresIvan Zoraja, Hermann Hellwagner, V. S. Sunderam,
Tópico(s)Advanced Data Storage Technologies
ResumoConcurrency: Practice and ExperienceVolume 11, Issue 3 p. 121-138 Research Article SCIPVM: Parallel distributed computing on SCI workstation clusters Ivan Zoraja, Corresponding Author Ivan Zoraja [email protected] Department of Electronics and Computer Science, University of Split, 21000 Split, CroatiaDepartment of Electronics and Computer Science, University of Split, 21000 Split, CroatiaSearch for more papers by this authorHermann Hellwagner, Hermann Hellwagner [email protected] Institut für Informatik, Technische Universität München, D-80290 München, GermanySearch for more papers by this authorVaidy Sunderam, Vaidy Sunderam [email protected] Department of Math and Computer Science, Emory University, Atlanta, GA 30322, USASearch for more papers by this author Ivan Zoraja, Corresponding Author Ivan Zoraja [email protected] Department of Electronics and Computer Science, University of Split, 21000 Split, CroatiaDepartment of Electronics and Computer Science, University of Split, 21000 Split, CroatiaSearch for more papers by this authorHermann Hellwagner, Hermann Hellwagner [email protected] Institut für Informatik, Technische Universität München, D-80290 München, GermanySearch for more papers by this authorVaidy Sunderam, Vaidy Sunderam [email protected] Department of Math and Computer Science, Emory University, Atlanta, GA 30322, USASearch for more papers by this author First published: 30 April 1999 https://doi.org/10.1002/(SICI)1096-9128(199903)11:3 3.0.CO;2-ZCitations: 5AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract Workstation and PC clusters interconnected by SCI (scalable coherent interface) are very promising technologies for high-performance cluster computing. Using commercial SBus to SCI interface cards and system software and drivers, a two-workstation cluster has been constructed for initial testing and evaluation. The PVM system has been adapted to operate on this cluster using both raw channel and shared-memory access to the SCI interconnect, and preliminary communications performance tests have been carried out. To achieve mutual exclusion in accessing shared-memory segments, two protocols were used. Our preliminary results indicate that communications throughput in the range of 17.7 Mbytes/s, and round-trip latencies of 80 μs using the first and 140 μs using the second protocol, can be obtained on SCI clusters. These figures are significantly better (by a factor of 2 to 4) for small and large messages than those attainable on Fast Ethernet LANs. Since these performance results are very encouraging, we expect that, in the very near future, SCI networks will be capable of delivering several tens of Mbytes/s bandwidth and a few tens of microseconds latencies, and will significantly enhance the viability of cluster computing. Copyright © 1999 John Wiley & Sons, Ltd. REFERENCES 1V. S. Sunderam, G. A. Geist, J. J. Dongarra and R. Manchek, 'The PVM concurrent computing system: Evolution, experiences, and trends', J. Parallel Comput., 20(4), 531–546 (1994). 10.1016/0167-8191(94)90027-2 Web of Science®Google Scholar 2W. Gropp, E. Lusk, N. Doss and A. Skjellum, 'A high-performance, portable implementation of the MPI message-passing interface standard', Parallel Comput., 22(6), 789–828 (1996). 10.1016/0167-8191(96)00024-5 Web of Science®Google Scholar 3D. B. Gustavson and Q. 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