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Conference Papers Year : 2020

Distributed futures for efficient data transfer between parallel processes

Abstract

This paper defines distributed futures, a construct that provides at the same time a data container similar to a distributed vector, and a single synchronization entity that behaves similarly to a standard future. This simple construct makes it easy to program a composition, in a task-parallel way, of several massively data-parallel tasks. The approach is implemented and evaluated in the context of a bulk synchronous parallel (BSP) active object framework.
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Dates and versions

hal-02417953 , version 1 (27-01-2020)

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Pierre Leca, Wijnand Suijlen, Ludovic Henrio, Françoise Baude. Distributed futures for efficient data transfer between parallel processes. SAC 2020 - 35th ACM/SIGAPP Symposium On Applied Computing, Mar 2020, Brno, Czech Republic. ⟨10.1145/3341105.3374104⟩. ⟨hal-02417953⟩
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