Search Results for "parallel programming frameworkc++" - Page 2
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Showing 35 open source projects for "parallel programming frameworkc++"
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pystim is an open source electrical stimulation device driver and development framework. It features a parallel/sequential block paradigm and supports event-base programming. It also provides a device simulator.
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Valkyries is a parallel programming project designed for and developed on a Beowulf cluster to crack several UNIX systems' passwords by brute-force. Currently implemented system cracks only numerical passwords but it's being developed.
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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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FIPP 4L is to provide a linux kernel driver and C library, which allow programming the Fischertechnik (R) parallel port interface (product ID 30520) in an easy way.
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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
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Utilize Java to create an application capable of massivly parallel operations. Application will be targeted as a Napster Clone, with the additional capability of downloading projects which are seeking computer time.
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TOP-C is a library for easily writing parallel applications for both distributed and shared memory architectures. It hides the details of parallel programming, and presents the application programmer with a simple task-oriented interface.
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MassiveJava is a Java-based environment for parallel programming. Lithium is able to execute the parallel application using a cluster or a network of workstations. A user is able to program a parallel application without take in account problem like sche
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This library provides an easy way to program the widely used parallel programming library PVM, which works in homogenous and heterogenous network environments.
