Title :
Spatial Computing as Intensional Data Parallelism
Author :
Spicher, Antoine ; Michel, Olivier ; Giavitto, Jean-Louis
Author_Institution :
LACL, Univ. Paris XII Paris Est, Creteil, France
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.
Keywords :
parallel programming; intentional data parallelism; spatial computing; spatial programming framework; Arrays; Clocks; Computational modeling; Fabrics; Parallel processing; Programming; collection; data flow; data parallelism; data-fields; declarative definition; intensionnal programming; spatial computing; stream;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems Workshop (SASOW), 2010 Fourth IEEE International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4244-8684-7
DOI :
10.1109/SASOW.2010.73
