Spatial computing as intensional data parallelism

Antoine Spicher 1 Olivier Michel 1 Jean-Louis Giavitto 2
1 LACL - Laboratoire d'Algorithmique Complexité et Logique
2 COSMO
IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
Abstract : In this paper, we show that various concepts and tools developed in the 90's in the field of data-parallelism provide a relevant spatial programming framework. It allows high level spatial computation specifications to be translated into efficient low-level operations on processing units. We provide some short examples to illustrate this statement.
keyword : Collection Data flow Data parallelism Data-fields Declarative definition Intensionnal programming Spatial computing Stream
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Antoine Spicher, Olivier Michel, Jean-Louis Giavitto. Spatial computing as intensional data parallelism. 4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop (SASOW 2010), Sep 2010, Budapest, Hungary. pp.196--205, ⟨10.1109/SASOW.2010.73⟩. ⟨hal-00869214⟩

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