Open Source C++ Distributed Computing Software

MARIE is a robotic development and integration environment focused on software reusability and exploitation of already available APIs and middlewares used in robotics. Its main purpose is to create a rapid-prototyping approach to robotics developments.

The purpose of the project is to develop a portable programming framework that facilitates distributed and multi-threaded programming for C++, Java, and Python. MADARA was originally developed as an agent-based middleware specifically for real-time, distributed artificial intelligence, but is now more general purpose for distributed timing, control, knowledge and reasoning, and quality-of-service. MADARA is composed of several tools and middleware, and the main entry point into the system is the Knowledge and Reasoning Language (KaRL) Engine, which provides a real-time scripting language for nanosecond execution times hooked into a flexible transport layer for distributed reasoning. The KaRL engine also supports object-oriented C++, Java, and Python programming through Containers, classes that provide abstractions and references for variable location within the KaRL Knowledge Base. This project is currently in process of being ported from http://madara.googlecode.com.

Blackboard implements a lightweight, portable tuple space suitable for multi-agent system and distributed component design. Supports implicit invocation via content-filtered asynchronous events, blocking call semantics, and shared memory messaging.

Channel is a C++ framework for distributed message passing and event dispatching, configurable with its components (msg ids,routing algorithms...) as template parameters. As a namespace shared by peer threads, channel supports scope control and filtering

Project provides a set of concurrent building blocks (Java & C/C++) that can be used to develop parallel/multi-threaded applications. Components are grouped into 4 categories: 1.Data Structures 2. Parallel Patterns 3.Parallel functions 4.Atomics and STM

The DataTime Process Framework is intended to support the processing of time-based data in a modular, concurrent, distributed and extensible manner. C++, using YARP, ACE, Qt and MUSCLE on Linux, OSX, Windows and Solaris.

Utility classes for sending files over JMS providers like ActiveMQ, use of XDoclet generated code and Hibernate in J2EE projects. In addition code to call EJB SessionBeans from C++. Programming Language: java Libraries: XDoclet, Hibernate

Formigueto is a distributed, filter-stream and event based run-time environment

The objective of the GridTrust project is to develop new Grid Security technologies in order to manage Trust and Security in Grid for the Next Generation Grids from the requirement level down to the application, middleware and foundation levels.

Tools, information, and practices for creating and operating dependable, complex, distributed, software-intensive systems. * Sense - Measure - Analyze - Respond - Optimize * Keywords: Performance Co-Pilot - PCP - PCPMon - Rjobd

The Network-Integrated Multimedia Middleware (NMM) is a flow graph based multimedia framework that allows to create distributed multimedia applications: local and remote multimedia devices or software components can be combined.

The Open Distributed Framework project is aimed at developing an open-source, cross-platform framework for distributed, high-performance physical modelling and simulation.

Development library for distributed programming. Spitfire provides an easy to use set of tools for managing processes and their communication. You just need to define the interfaces and behaviour of the processes; everything else is already done :-D

The Karoo Project is a framework for making it practical to create distributed applications. By "practical", I mean that it must do it uncomplicatedly, efficiently, and cheaply. This project provides application management, queuing, and IPC.

WOSH is a multi-platform message-oriented middleware written in ANSI C++. Service oriented architecture, designed for network distributed computing. Already working: Audio multimedia, X10, remote control (WinMobile, GTalk) and much more..

abiquo platform allows to create intelligent distributed networks interconnecting all kind of devices. We ease the interaction between gadgets, users and organizations through empowering technologies which add intelligence to actual networks.

Python Integrated Parallel Programming EnviRonment (PIPPER), Python pre-parser that is designed to manage a pipeline, written in Python. It enables automated parallelization of loops. Think of it like OpenMP for Python, but it works in a computer cluster