Showing 62 open source projects for "parallel computing datamaning"

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  • 1
    MapReduce is a simple and flexible parallel programming model initially proposed by Google for large scale data processing in a distributed computing environment. This project implements the MapReduce runtime and API for the Cell processor platform.
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  • 2
    Brook is an ANSI C like general purpose stream programming language and is designed to incorporate the ideas of data parallel computing and arithmetic intensity into a familiar, efficient language. Has OpenMP CPU, OpenGL, DirectX 9 and AMD CTM backends.
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  • 3
    This project provides a distributed testing environment that extends JUnit. Giving the developer/tester an ability to run remote JUnits and create complex test suites that are composed of several remote JUnit tests running in parallel or serially.
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  • 4
    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.
    Downloads: 1 This Week
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  • 5
    The project is a “data-parallel” C++ library to teach parallel programming concepts. We intend to make this library portable, small, and easy to extend to work with real parallel message passing systems such as MPI and PVM. Darrell Raymond Ulm
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  • 6
    The software provides a means to form a simple Java cluster. It can be also viewed as a parallel computing 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>
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  • 7
    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
    Downloads: 0 This Week
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  • 8
    RAFT-Net is a Fault Tolerant Parallel Distributed Framework. Using a Master-Worker scheme, the framework transparently distributes workunits to workers (drones). These workers can join and leave and as such, the network is very flexible. A modified
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  • 9
    Compiles your applications really fast on a cluster of PVM nodes.
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  • 10
    A parallel Library for C++ that help development of parallel applications that can be transparently distributed over network connected machines with Linux+MOSIX
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  • 11
    Tools and kernel patches for benchmarking and analysis of high performance parallel file systems.
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  • 12
    JQFramework is a set of classes designed to ease the production of highly parallel code in C#, for use on multi-processor systems and/or grid and cloud computing.
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