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/* |
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* Written by Doug Lea with assistance from members of JCP JSR-166 |
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* Expert Group and released to the public domain, as explained at |
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* http://creativecommons.org/publicdomain/zero/1.0/ |
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*/ |
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|
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/** |
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* Preview versions of classes targeted for Java 7. Includes a |
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* fine-grained parallel computation framework: ForkJoinTasks and |
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* their related support classes provide a very efficient basis for |
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* obtaining platform-independent parallel speed-ups of |
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* computation-intensive operations. They are not a full substitute |
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* for the kinds of arbitrary processing supported by Executors or |
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* Threads. However, when applicable, they typically provide |
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* significantly greater performance on multiprocessor platforms. |
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* |
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* <p>Candidates for fork/join processing mainly include those that |
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* can be expressed using parallel divide-and-conquer techniques: To |
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* solve a problem, break it in two (or more) parts, and then solve |
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* those parts in parallel, continuing on in this way until the |
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* problem is too small to be broken up, so is solved directly. The |
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* underlying <em>work-stealing</em> framework makes subtasks |
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* available to other threads (normally one per CPU), that help |
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* complete the tasks. In general, the most efficient ForkJoinTasks |
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* are those that directly implement this algorithmic design pattern. |
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*/ |
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package jsr166y; |
