Thursday Apr 26, 2012

Released: NetBeans IDE 7.1.2, Now Supporting Java SE 7u4

NetBeans IDE 7.1.2 is an update release to versions 7.1 and 7.1.1. Here's what's new:

There are two ways to get the updates:

  • To get the patches only: Launch your current installation of NetBeans IDE 7.1, and an update alert will appear. Click the notification box to install the updates. OR to perform the update manually, select Tools-->Plugins-->Reload Catalog (Updates Tab).

 What's on your mind? Join the NetBeans team on Twitter, Facebook and Google+ and let's discuss!


Monday Aug 01, 2011

NetBeans IDE 7.0.1 Now Available for Download

The NetBeans Team has released NetBeans IDE 7.0.1, with full support for the official release of the Java SE 7 platform.

An update to NetBeans IDE 7.0, this release includes the following notable changes:

  • Full JDK 7 support: Running NetBeans IDE on top of JDK 7, and support for the final version of the JDK 7 language features
  • Integration of recent patches
  • Performance improvements
To get the recent changes:
  • Download NetBeans 7.0.1 OR
  • If you already have NetBeans IDE 7.0 installed, launch the IDE and an update notification will appear. Click the alert-box to install the updates.
NetBeans IDE 7.0.1 is available in English, Brazilian Portuguese, Japanese, Russian, and Simplified Chinese.

Wednesday Jul 13, 2011

Understanding the Java 7 Fork/Join Framework

An incisive and timely article by Julien Ponge, an Associate Professor in computer science at INSA de Lyon, titled “Fork and Join: Java Can Excel at Painless Parallel Programming, Too!” offers a detailed exploration of the new Java 7 fork/join framework. It begins with an explanation of low-level mechanisms involved in Java concurrent programming, then explores the rich primitives of the java.util.concurrent packages, and presents fork/join tasks plus example usage of the new APIs.

From the article itself:

“To illustrate the usage of the new fork/join framework, let us take a simple example in which we will count the occurrences of a word in a set of documents. First and foremost, fork/join tasks should operate as “pure” in-memory algorithms in which no I/O operations come into play. Also, communication between tasks through shared state should be avoided as much as possible, because that implies that locking might have to be performed. Ideally, tasks communicate only when one task forks another or when one task joins another.”

Read the complete article.

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