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Automatic Code Generation of Distributed Parallel Tasks

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Résumé

With the advent of clustered systems, more and more parallel computing is required. However a lot of programming skills is needed to write a parallel codes, especially when you want to benefit from the various parallel architectural resources, with heterogeneous units and complex memory organizations. We present in this paper a method that generates automatically, step by step, a task-parallel distributed code from a sequential program. It has been implemented in an existing source-to-source compiler PIPS. Our approach provides two main advantages 1) all the program transformations are simple and applied on source code, thus are visible by the user, 2) a proof of correctness of the parallelization process can be made. This ensures that we end up with a correct distributed-task program for distributed-memory machines. To our knowledge, it is the first tool that automatically generates a distributed code for task parallelization.
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Dates et versions

hal-01359468 , version 1 (07-02-2017)

Identifiants

Citer

Nelson Lossing, Corinne Ancourt, François Irigoin. Automatic Code Generation of Distributed Parallel Tasks. 19th IEEE International Conference on Computational Science and Engineering (CSE 2016), Aug 2016, paris, France. pp.234-241, ⟨10.1109/CSE-EUC-DCABES.2016.190⟩. ⟨hal-01359468⟩
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