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Brook+ is a high level C-like language with extensions for stream programming on different compute devices such as CPUs and GPUs. Supports an ATI CAL and x86 CPU backend. Keywords : GPGPU, GPU Computing, HPC
libMAGE (Multi-Agent Grid Engine) is a C++ library that provides basis for constructing distributed autonomic systems (running on grids and clusters), that are able to adapt to processor and memory load and node failures.
XML Processor. A Multi-threaded, Pub/Sub environment for Dynamic programming on an event driven Tickless and Sleeping State Machine with TCP communications, tight flawless memory management, powerful set algebra and a magical database. 100% C++. ezPort.
Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
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OSlash is a c++ framework for developing decentralized cloud computing services. It includes a programming environment and virtual machine for assembling networks of processing nodes coordinate their operations through message passing.
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
Geneur is an Open Source scheduler for GRID. It is based on variation of genetic algorithms. Geneur uses backfill scheduling algorithm to create first genetic population.
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
Tiny Distributed Computing Library is an easy to use cross-platform library for performing distributed computations. It is written in C++ and designed with good performance and modularity in mind.
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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
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.
The PICI Network Messaging System is a message oriented middleware with the goal to provide a transparent layer which allows the sending and receiving of messages between different apps by a "subscribe/publish" mechanism. C++ API and runtime. Win/Linux
Intended as a tool for distributing build processes. Automatically forms clusters with other hosts and distributes command line processes. Files are transferred to the remote host on demand. Behaves like distcc, but for almost any type of process.
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.
pRPL is a general-purpose parallel Raster Processing C++ programming Library. It enables the implementation of parallel raster-based algorithms without requiring a deep understanding of parallel computing, and greatly reduces the development complexity.
A data parallel scientific programming model. Compiles efficiently to different platforms like distributed memory (MPI), shared memory multi-processor (pthreads), Cell BE processor, Nvidia Cuda, SIMD vectorization (SSE, Altivec), and sequential C++ code.
growler is a C++-based distributed object and event architecture.
Its primary application has been in support of interactive, distributed visualization, "concurrent visualization", and computational steering.
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.
AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)
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.
...It emulates the computation of sensor platforms, simulates the wireless communications, and allows plug-in models for source detection simulation. Intended for cluster computing.