DocumentCode
2798537
Title
Performance Modeling and Tuning Strategies of Mixed Mode Collective Communications
Author
Wu, Meng-Shiou ; Kendall, Ricky A. ; Wright, Kyle ; Zhang, Zhao
Author_Institution
Iowa State University Laboratory, Ames Laboratory
fYear
2005
fDate
12-18 Nov. 2005
Firstpage
45
Lastpage
45
Abstract
On SMP clusters, mixed mode collective MPI communications, which use shared memory communications within SMP nodes and point-to-point communications between SMP nodes, are more efficient than conventional implementations. In a previous study, we proposed several new methods that made mixed mode collective communications significantly faster than the pure point-to-point ones. However, the optimal performance required the tuning of many parameters, which was done by testing every possible setting and was very time consuming. In this study, we propose a new performance model that considers the special characteristics of mixed mode collective communications. The model provides good predictions to reduce most settings without testing by execution. It considers both shared-memory and point-to-point communications, while existing performance models only consider the point-to-point ones. Based on this model, we develop a number of tuning strategies that reduce the overall tuning time to only 10% of previous tuning time.
Keywords
Computer science; Cost function; Government; Laboratories; Machinery; Pipeline processing; Predictive models; Runtime; Testing; US Department of Energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Supercomputing, 2005. Proceedings of the ACM/IEEE SC 2005 Conference
Print_ISBN
1-59593-061-2
Type
conf
DOI
10.1109/SC.2005.56
Filename
1559997
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