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
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