Throughput constrained parallelism reduction in cyclo-static dataflow applications

Abstract : This paper deals with semantics-preserving parallelism reduction methods for cyclo-static dataflow applications. Parallelism reduction is the process of equivalent actors fusioning. The principal objectives of parallelism reduction are to decrease the memory footprint of an application and to increase its execution performance. We focus on parallelism reduction methodologies constrained by application throughput. A generic parallelism reduction methodology is introduced. Experimental results are provided for asserting the performance of the proposed method.
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Sergiu Carpov, Loïc Cudennec, Renaud Sirdey. Throughput constrained parallelism reduction in cyclo-static dataflow applications. International Conference on Computational Science (ICCS 2013), Jun 2013, Barcelona, Spain. pp.30-39, ⟨10.1016/j.procs.2013.05.166⟩. ⟨hal-00832508⟩

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