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Four Paths to Java Parallelism

December 4th, 2008 · 1 Comment




Parallel programming in Java is becoming easier with tools such as the fork/join framework, Pervasive DataRush, Terracotta, and Hadoop. This article gives a high-level description of each approach, pointing you in the right direction to begin writing parallel applications of your own.

Boiling the Ocean of Data
Companies today are swimming in data. The increasing ease with which data can be collected, combined with the decreasing cost of storing and managing it, means huge amounts of information are now accessible to anyone with the inclination. And many businesses do have the desire. Internet search engines index billions of pages of content on the web. Banks analyze credit card transactions looking for fraud. While these may be industry-specific examples, there are others that apply broadly: business intelligence, predictive analytics, and regulatory compliance to name a few.

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  • 1 Four paths to parallelism with Java | insideHPC // Dec 8, 2008 at 6:00 am

    [...] posted an article last week (thanks to Multicoreinfo.com for the pointer) to an article on parallelism in Java Parallel programming in Java is becoming easier with tools [...]