Distributed futures for efficient data transfer between parallel processes

Pierre Leca 1 Wijnand Suijlen 1 Ludovic Henrio 2 Françoise Baude 3
1 Huawei Technologies France [Boulogne-Billancour]
2 CASH - CASH - Compilation and Analysis, Software and Hardware
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
3 SCALE - Safe Composition of Autonomous applications with Large-SCALE Execution environment
Laboratoire I3S - COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués
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.
Keywords : Parallel and distributed programming Futures Futures ACM Reference Format: Pierre Leca Wijnand Suijlen Ludovic Henrio and Françoise Baude 2020
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Conference papers
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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. ⟨10.1145/3341105.3373932⟩. ⟨hal-02417953⟩

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