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Abstract: The performance of the MPI's collective communications is critical in most MPI-based applications. A general algorithm for a given collective communication operation may not give good performance on all systems due to the di#erences in architectures, network parameters and the storage capacity of the underlying MPI implementation. Hence, collective communications have to be tuned for the system on which they will be executed. In order to determine the optimum parameters of collective... (Update)
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BibTeX entry: (Update)
Sathish S. Vadhiyar, Graham E. Fagg, and Jack J. Dongarra. Towards an accurate model for collective communications. In Proceedings of the International pages 41--50, San Francisco, CA, May 2001. Springer. http://citeseer.ist.psu.edu/vadhiyar01towards.html More
@article{ vadhiyar01towards,
author = "Sathish S. Vadhiyar and Graham E. Fagg and Jack J. Dongarra",
title = "Towards an Accurate Model for Collective Communications",
journal = "Lecture Notes in Computer Science",
volume = "2073",
pages = "41--??",
year = "2001",
url = "citeseer.ist.psu.edu/vadhiyar01towards.html" }
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447 MPI- The Complete Reference (context) - Snir, Otto et al. - 1998
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6 Automatically Tuned Collective Communications - Vadhiyar, Fagg et al. - 2000 ACM DBLP
4 Collective Communication on Dedicated Clusters of Workstatio.. - Huse - 1999
4 FT-MPI: Fault Tolerant MPI, Supporting Dynamic Applications .. - Fagg, Dongarra - 2000 DBLP
3 ACCT: Automatic Collective Communications Tuning (context) - Fagg, Vadhiyar et al. - 2000 DBLP
3 A new optimized MPI reduce algorithm (context) - Rabenseifner - 1997
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