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Using Static Code Analysis to Improve Performance of GridRPC Applications

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2 Author(s)
Oleg Girko ; Sch. of Comput. Sci. & Inf., Univ. Coll. Dublin, Dublin, Ireland ; Alexey Lastovetsky

The paper presents an approach to improve performance of GridRPC applications by statically analysing dynamic workflows. An extension to GridRPC API is used to specify the region of code to apply static code analysis to, during the compilation phase. The information collected is then used at runtime for building a graph of dependencies between tasks, which is analysed to assign servers to tasks in an optimal way, minimising the time of computation and communication. This approach handles branching and looping correctly by building an extended dependency graph, which covers all branches of the code.

Published in:

Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International

Date of Conference:

21-25 May 2012