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General purpose matrix utilities for Java in ParallelComputing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices.
fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors.
GridABM is an easy-to-use toolkit to develop high-performance agent-based models (ABMs) in Repast. GridABM facilitates large-scale simulation of ABM on multicore computers, local computing clusters, or computational grids.
Parallelizable is a tiny framework in complement for java.util.conccurent api. Parallelizable is an abstract class to extend for making asynchronous parallel execution on a synchronous task. Very usefull if task often calls a very long process.
An open source,platform independent,technical web programming language using MATLAB in background, that supports 3-Tier Architecture (Web-Business-DB) including Distributed Computing and Parallel Processing via remote procedure calls and web services.
The software provides a means to form a simple Java cluster. It can be also viewed
as a parallelcomputing library in Java. The project is based on the following
<a href='http://www-106.ibm.com/developerworks/java/library/j-super.html'>article</a>
This project is setup to maintain a set of Javaparty codes.
This includes Javaparty benchmarks and applications.
Javaparty (http://www.ipd.uka.de/JavaParty/) is a Java extension for easy and efficient parallel programming.
It does so by extending the