Presentation: Tweet"Data parallelism in Java"
In JDK 5.0, the Java platform libraries were upgraded to facilitate coarse-grained parallelism; these mechanisms facilitated the creation of multi-threaded server applications that partitioned work along task-level boundaries. As Moore's Law continues to give us more and more cores, applications may seek to extract finer-grained parallelism. This talk will explore language and library improvements in JDK 7 and beyond that facilitate the exploitation of data-level parallelism in the Java language and other languages running on the JVM.
Keywords: Parallelism, fork join, recursive decomposition, Java
Target audience: Anyone who wants to make their applications scale better on multicore systems
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Target audience: Anyone who wants to make their applications scale better on multicore systems
