ForkLoop Images Assignment

Motivation

We gain experience using a parallel fork loop. Image processing often presents the opportunity for a lot of parallelism. Here we will operate on a single image, making a parallel task for each row.

Background

Revisit the Image Batch Race Condition Exercise's Background section for information on pixels and images.

Code To Investigate

Image Batch Race Condition Exercise

Image Batch Race Condition Code To Investigate

PixelFilters

PixelFilters

} Code To Implement ParallelTaskPerRowImageFilter class: ParallelTaskPerRowImageFilter.java methods: apply package: imagefilter.exercise source folder: student/src/main/java apply method: public HsvImage apply(HsvImage src, PixelFilter pixelFilter) (parallel implementation required) Warning: When saving the result of pixelFilter.apply(), always put the result in a new array. Don't overwrite values of the source array. To complete this method we must return a new instance of the interface HsvImage. The provided class DefaultHsvImage implements HsvImage so should serve well. Nicely, DefaultHsvImage provides both: a constructor which takes an List<HsvColor[]> and, another constructor which takes an HsvColor[][]. These two constructors match up well with the two different return types of the many incantations of join_fork_loop: List<R>, and R[] where R is the return type of the TaskFunction<T, R> passed to the join_fork_loop. What should the return type from the this TaskFunction be? Visualization class: ImageFilterApp.java VIZ package: imagefilter.viz source folder: student/src/main/java Testing Your Solution class: __ParallelTaskPerRowImageFilterTestSuite.java package: imagefilter.exercise source folder: testing/src/test/java Pledge, Acknowledgments, Citations file: exercise-fork-loop-images-pledge-acknowledgments-citations.txt More info about the Honor Pledge