Anet: A programming environment for parallel image analysis

被引：0

作者：

Ducourthial, Bertrand ^{[1
]}

Merigot, Alain ^{[1
]}

Sicard, Nicolas ^{[1
]}

机构：

[1] Universite de Technologie de, Compiegne, Compiegne, France

来源：

| 1600年 / IEEE, Piscataway, NJ, United States卷

关键词：

Associative processing - C (programming language) - Computer programming - Graph theory - Parallel algorithms - Parallel processing systems;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper we present the programming environment Anet for image analysis, that aims to bridge the gap between programmability requirements and parallel efficiency. It is based on the graph based associative nets computing model, and allows irregular data manipulation. As it is intrinsically a parallel model parallel execution can be quite naturally considered, and as the number of primitives is small, effective parallelization requires an initial limited effort and can be reused by a large set of programs.

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