Harnessing clusters of hybrid nodes with a sequential task-based programming model - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2014

Harnessing clusters of hybrid nodes with a sequential task-based programming model

Résumé

Runtime systems usually abstract a single node. The Sequential Task Flow (STF) model has been proven efficient on shared memory applications. When harnessing cluster of nodes, how should they communicate? By using explicit MPI user calls ? By using a specific paradigm ? Or can we keep the same STF paradigm and almost the same code, and leave the runtime system handle data transfers? We show how such a system has been sucessfully implemented on top of the StarPU runtime.
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Dates et versions

hal-01283949 , version 1 (07-03-2016)

Identifiants

  • HAL Id : hal-01283949 , version 1

Citer

Emmanuel Agullo, Olivier Aumage, Mathieu Faverge, Nathalie Furmento, Florent Pruvost, et al.. Harnessing clusters of hybrid nodes with a sequential task-based programming model. International Workshop on Parallel Matrix Algorithms and Applications (PMAA 2014), Jul 2014, Lugano, Switzerland. ⟨hal-01283949⟩
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