DocumentCode
2734237
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
fYear
2010
fDate
27-28 Sept. 2010
Firstpage
196
Lastpage
205
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SASOW.2010.73
Filename
5729621
Link To Document