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Diderot: a Domain-Specific Language for Portable Parallel Scientific Visualization and Image Analysis.

Authors :
Kindlmann, Gordon
Chiw, Charisee
Seltzer, Nicholas
Samuels, Lamont
Reppy, John
Source :
IEEE Transactions on Visualization & Computer Graphics; Jan2016, Vol. 22 Issue 1, p867-876, 10p
Publication Year :
2016

Abstract

Many algorithms for scientific visualization and image analysis are rooted in the world of continuous scalar, vector, and tensor fields, but are programmed in low-level languages and libraries that obscure their mathematical foundations. Diderot is a parallel domain-specific language that is designed to bridge this semantic gap by providing the programmer with a high-level, mathematical programming notation that allows direct expression of mathematical concepts in code. Furthermore, Diderot provides parallel performance that takes advantage of modern multicore processors and GPUs. The high-level notation allows a concise and natural expression of the algorithms and the parallelism allows efficient execution on real-world datasets. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10772626
Volume :
22
Issue :
1
Database :
Complementary Index
Journal :
IEEE Transactions on Visualization & Computer Graphics
Publication Type :
Academic Journal
Accession number :
110690024
Full Text :
https://doi.org/10.1109/TVCG.2015.2467449