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Conference Papers Year : 2017

Efficient Implicit Parallel Patterns for Geographic Information System

Abstract

With the data growth, the need to parallelize treatments become crucial in numerous domains. But for non-specialists it is still difficult to tackle parallelism technicalities as data distribution, communications or load balancing. For the geoscience domain we propose a solution based on implicit parallel patterns. These patterns are abstract models for a class of algorithms which can be customized and automatically transformed in a parallel execution. In this paper, we describe a pattern for stencil computation and a novel pattern dealing with computation following a pre-defined order. They are particularly used in geosciences and we illustrate them with the flow direction and the flow accumulation computations.
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Dates and versions

hal-01557048 , version 1 (05-07-2017)

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Kevin Bourgeois, Sophie Robert, Sébastien Limet, Victor Essayan. Efficient Implicit Parallel Patterns for Geographic Information System. International Conference on Computational Science (ICCS 2017), Jun 2017, Zürich, Switzerland. pp.545-554, ⟨10.1016/j.procs.2017.05.235⟩. ⟨hal-01557048⟩
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