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Formal methods to generate parallel iterative codes for PDE-based applications

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1 Author(s)
Peiyi Tang ; Dept. of Comput. Sci., Arkansas Univ., Little Rock, AR, USA

Developing parallel software is far more complex than traditional sequential software. An effective approach to deal with the complexity of parallel software is domain-specific programming in an abstraction higher than general-purpose programming languages. In this paper, we focus on the domain of the applications based on partial differential equations (PDE) and provide a formal framework and methods for PDE compilers to generate parallel iterative codes for the domain. We also provide a PDE compiler optimization to minimize the number of messages between parallel processors. Our framework and methods can be used to build PDE compilers to generate efficient parallel software for PDE-based applications automatically.

Published in:

Engineering of Complex Computer Systems, 2005. ICECCS 2005. Proceedings. 10th IEEE International Conference on

Date of Conference:

16-20 June 2005

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