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An open Gnutella network library based on GnucDNA. It is platform-independent, developer-friendly and efficient, developed in portable C++. Easy enough for the casual P2P developer and advanced enough to satisfy the research project needs.
In many parallel scientific applications the process of grid generation, decomposition, message passing, and performance measurements are of similar stucture. The projects intention is to develop a generic function library that will contain all these.
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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This project aims to build a full featured C++ (and possibly Python) library and associated tools which facilitate building Artificial Life simulations in a distributed environment.
Powerful platform for creating networked multiplayer 3D games. The system includes specifications for a client engine and 2 protocols. Demo apps: mud/moo proxy, tetris. Currently uses OpenGL, VRML, java, tcl. Client/server architecture for security.
GP@home is a new group/project dedicated to fully utilizing the combined concepts of genetic programming and distributed computing to improve the quality of life for all human beings. Nothing is impossible working together.
QUAFF is a C++ library for designing and running parallel code onto any MPI aware system by providing an eay to use -- yet efficient -- API based on algorithmic skeletons.
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Shade is an Object-Oriented, Shader-based, Distributed Scene Graph. Designed using C++ (with optional Lua bindings), OpenGL, and MPI, Shade allows the creation of applications that work on a single machine and on a tiled display.
The Open Distributed Framework project is aimed at developing an open-source, cross-platform framework for distributed, high-performance physical modelling and simulation.
The message passing interface (MPI) standard is a library specification for message passing on parallel computers. This project develops an extension to MPI in C++ such that STL objects can be transfered just as easily as fundamental data types.