Extending the data parallel paradigm with data-dependent operators
Parallel Computing - Parallel computing in image and video processing
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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.