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 <title>Four Paths to Java Parallelism</title>
 <link>http://mattwalker.sys-con.com/node/768830</link>
 <description>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. 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.&lt;p&gt;&lt;a href=&quot;http://mattwalker.sys-con.com/node/768830&quot; target=&quot;_blank&quot;&gt;read more&lt;/a&gt;&lt;/p&gt;</description>
 <pubDate>Mon, 15 Dec 2008 17:00:00 EST</pubDate>
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 <description>The multi-core buzz is everywhere. Pick up a newspaper and the local electronics mega-store is advertising multi-core desktops and laptops to the consumer. Interesting, but what does it mean to the everyday Java programmer? Maybe nothing. If you live in the application server world writing EJB-based applications your application server does most of the heavy lifting for you. It handles concurrency just fine. But that doesn&#039;t cover all applications. Multi-core technology will especially affect applications that must process large amounts of data in a non-transactional (outside of a database context) manner. For this class of applications, the implications of multi-core are huge.&lt;p&gt;&lt;a href=&quot;http://mattwalker.sys-con.com/node/419717&quot; target=&quot;_blank&quot;&gt;read more&lt;/a&gt;&lt;/p&gt;</description>
 <pubDate>Sun, 26 Aug 2007 12:00:00 EDT</pubDate>
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