parallel quicksort with java fork join framework JSR 166y
Fork Join (jsr 166y) framework is slated for Java 7 and is absolutely cool and is no surprise coming from Doug Lea. I had to try something out with it since the packages compiled on java 6 is also availalbe. I tried parallizing the quicksort algorithm using this and looks like it compiles and even produces right results!!! The important part here is the use of Phaser, a resettable CountdownLatch i
Beginner's Introduction to Java's ForkJoin Framework
These notes describe the bare basics of the Java ForkJoin Framework (JSR-166) for students new to parallel programming. This material is only enough to code up basic parallel maps and reductions for pedagogical purposes. The focus is on the few classes and methods you need to get started. Separate lecture notes and a programming project give much more detail on benefits of the library, how to appr
Blog::Quibb » JSR-166: The Java fork/join Framework
The JSR-166 are concurrent utilities that were included in Java 5. The fork/join framework was a piece of it that didn’t make it into Java 5. After all this time the fork/join framework is finally making it into JDK 7. What surprised me about the framework is that it is so easy to use. The fork/join framework is designed to make divide-and-conquer algorithms easy to parallelize. More specifica
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ゆっちのＢｌｏｇ » Blog Archive » ForkJoin を NetBeans 6.8 で試してみた
Java の理論と実践: フォークを活用する、第 2 回 Java 7のParallelArrayクラスを使ってソートと検索の速度を上げる
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From Concurrent to Parallel
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Brian Goetz氏によるJavaOne 2008のセッション資料「Let’s Resync Concurrency Features in JDK 7」の翻訳
Recurrsion using parallel processing
Java theory and practice: Stick a fork in it
Efficient data transfer through zero copy