 |
Conference papers
Spatial computing as intensional data parallelism
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.
Cited literature [46 references]
https://hal.archives-ouvertes.fr/hal-00869214
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, February 11, 2014 - 3:05:03 PM
Last modification on : Monday, October 28, 2019 - 11:00:24 AM
Document(s) archivé(s) le : Monday, May 12, 2014 - 11:22:39 AM
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, February 11, 2014 - 3:05:03 PM
Last modification on : Monday, October 28, 2019 - 11:00:24 AM
Document(s) archivé(s) le : Monday, May 12, 2014 - 11:22:39 AM
File
spatial-computing09.pdf
Files produced by the author(s)
