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Parallel computation framework for Java
Java framework that supports a style of parallel programming in which problems are solved by (recursively) splitting them into subtasks that are solved in parallel, waiting for them to complete, and then composing results.
Fork/Join parallelism is among the simplest and most effective design techniques for obtaining good parallel performance. Fork/Join algorithms are parallel versions of familiar divide-and-conquer algorithms.
JSR166y includes a parallel computation framework: ForkJoinTasks and their related support classes provide a very efficient basis for obtaining platform-independent parallel speed-ups of computation-intensive operations.