A data and task parallel image processing environment

摘要

The paper presents a data and task parallel low-level image processing environment for dis- tributed memory systems. Image processing operators are parallelized by data decomposition using algorithmic skeletons. Image processing applications are parallelized by task decompo- sition, based on the image application task graph. In this way, an image processing application can be parallelized both by data and task decomposition, and thus better speed-ups can be ob- tained. We validate our method on the multi-baseline stereo vision application.