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CASH - 2018

Section: New Results

Polyhedral Dataflow Programming: a Case Study

Participant : Laure Gonnord.

With Lionel Morel and Romain Fontaine (Insa Lyon), we have studied the benefits of jointly using polyhedral compilation with dataflow languages. We have proposed to expend the parallelization of dataflow programs by taking into account the parallelism exposed by loop nests describing the internal behavior of the program's agents. This approach is validated through the development of a prototype toolchain based on an extended version of the SigmaC language. We demonstrated the benefit of this approach and the potentiality of further improvements on several case studies.

The results have been published in the Sbac-PAD conference on High Performance computing [3].