DocumentCode :
1685632
Title :
Symbolic expression analysis for compiled communication
Author :
Shao, Shuyi ; Zhang, Yu ; Jones, Alex K. ; Melhem, Rami
Author_Institution :
Dept. of CS, Univ. of Pittsburgh, Pittsburgh, PA
fYear :
2008
Firstpage :
1
Lastpage :
8
Abstract :
Enabling circuit switching in multiprocessor systems has the potential to achieve more efficient communication with lower cost compared to packet/wormhole switching. However, in order to accomplish this efficiently, assistance from the compiler is required to reveal the communication pattern in the parallel application. In this paper we present symbolic expression analysis techniques in a MPI parallel compiler. Symbolic expression analysis allows the identification and representation of the communication pattern and also assists in the determination of communication phases in MPI parallel applications at compile-time. We demonstrate that using the compiler analysis based on symbolic expression analysis to determine the communication pattern and phases provides an average of 2.6 times improvement in message delay over a threshold-based runtime system for our benchmarks with a maximum improvement of 9.7 times.
Keywords :
message passing; multiprocessing systems; parallel processing; program compilers; MPI parallel compiler; circuit switching; communication pattern; compiled communication; compiler analysis; multiprocessor systems; parallel application; symbolic expression analysis; Communication switching; Costs; High performance computing; Integrated circuit interconnections; Multiprocessing systems; Multiprocessor interconnection networks; Packet switching; Pattern analysis; Switching circuits; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on
Conference_Location :
Miami, FL
ISSN :
1530-2075
Print_ISBN :
978-1-4244-1693-6
Electronic_ISBN :
1530-2075
Type :
conf
DOI :
10.1109/IPDPS.2008.4536344
Filename :
4536344
Link To Document :
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