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iC2mpi: A Platform for Parallel Execution of Graph-Structured Iterative Computations

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5 Author(s)
Harnish Botadra ; Georgia State University, Atlanta, Georgia, U.S.A. ; Qiong Cheng ; Sushil K. Prasad ; Eric Aubanel
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Parallelization of sequential programs is often daunting because of the substantial development cost involved. Previous solutions have not always been successful, partly because many try to address all types of applications. We propose a platform for parallelization of a class of applications that have similar computational structure, namely graph-structured iterative applications. iC2mpi is a unique proof-of-concept prototype platform that provides relatively easy parallelization of existing sequential programs and facilitates experimentation with static partitioning and dynamic load balancing schemes. We demonstrate with various generic application graph topologies that our platform can produce good performance with very little effort. The iC2mpi platform has a good potential for further performance improvements and for extensions to related classes of application domains.

Published in:

2007 IEEE International Parallel and Distributed Processing Symposium

Date of Conference:

26-30 March 2007