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
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;
Conference_Titel :
Supercomputing, 2005. Proceedings of the ACM/IEEE SC 2005 Conference
Print_ISBN :
1-59593-061-2