DocumentCode :
3142782
Title :
Profile Guided MPI Protocol Selection for Point-to-Point Communication Calls
Author :
Marathe, Aniruddha ; Lowenthal, David K. ; Gu, Zheng ; Small, Matthew ; Yuan, Xin
Author_Institution :
Dept. of Comput. Sci., Univ. of Arizona, Tucson, AZ, USA
fYear :
2011
fDate :
16-20 May 2011
Firstpage :
733
Lastpage :
739
Abstract :
Improving communication performance is critical to achieving high performance in message-passing programs. Designing new, efficient protocols to realize point-to-point and collective communication operations has therefore been an active area of research. However, the best protocol for a given communication routine is both application and architecture specific. This paper contributes a new method of selection of the optimal protocol for a given point-to-point communication pair. Our technique analyzes the MPI communication call profile of an application and uses a computation and communication model we have developed to choose the proper protocol for each communication phase. We have applied our system to MPI applications such as CG, Sweep3D and Sparse Matrix multiplication, as well as synthetic applications. Our scheme yields an improvement in total execution time of up to 20% compared to MVAPICH2 and up to 3.2% compared to the best, highly optimized communication protocol for the real applications. Furthermore, experiments on the synthetic applications show that the savings can be much more pronounced.
Keywords :
application program interfaces; matrix multiplication; message passing; protocols; telecommunication computing; CG; MPI communication call profile; MVAPICH2; Sweep3D; collective communication operations; communication performance improvement; message passing interface; point-to-point communication calls; profile guided MPI protocol selection; sparse matrix multiplication; Benchmark testing; Computational modeling; Delay; Predictive models; Protocols; Receivers; Sparse matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on
Conference_Location :
Shanghai
ISSN :
1530-2075
Print_ISBN :
978-1-61284-425-1
Electronic_ISBN :
1530-2075
Type :
conf
DOI :
10.1109/IPDPS.2011.215
Filename :
6008844
Link To Document :
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