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DReAMSim provides a simple simulation framework for modeling homogeneous and/or heterogeneous (re)-configurable processing elements in a large-scale distributed environment. In particular, DReAMSim enables users to model task scheduling techniques at a preliminary design stage in order to investigate their performance potential.
The simulation framework makes it easy to extract various performance and resource utilization related statistics to study the behavior of different task...
NodeCom is an open-source component framework for extremely constrained WSN. This project sourceforge is under construction. The code will be added soon. See our laboratory web page: http://domus.usherbrooke.ca/
Development and support of OCFA have been discontinued. the code has moved to these github repositories:
https://github.com/DNPA/OcfaLib
https://github.com/DNPA/OcfaArch
https://github.com/DNPA/OcfaJavaLib
https://github.com/DNPA/OcfaModules
https://github.com/DNPA/OcfaDoc
If you are interested in contributing to ongoing work on the creation of a community maintained OCFA inspired computer forensic framework, please join the Mattock/MattockFS community page on...
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Context-awareness is a key concept in ubiquitous computing. The Java Context-Awareness Framework (JCAF) is a Java-based context-awareness infrastructure and programming API for creating context-aware applications.
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..
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.
Simdist lets you harness the power of cluster computing without any knowledge of parallel libraries such as MPI, and with no restrictions on programming language. Primarily targeted at evolutionary computing and similar master-slave configurations.
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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
Distributed Parallel Programming for Python! This package builds on traditional Python by enabling users to write distributed, parallel programs based on MPI message passing primitives. General python objects can be messaged between processors. Ru
Roomy is a programming language extension for writing parallel disk-based applications. All details of parallelism and disk I/O are hidden within the Roomy library.
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.
Meerkat is a distributed programming environment. It consists of a virtual machine which is suited to parallel processing. The data model is based on the concept of actors, although it is much more permissive than the traditional description.
CLara is a framework that enables you to access the computing power of many graphics processors in an IP-based network using a kind of Client/Proxy/Server model. Its programming interface conforms to the OpenCL 1.0 standard.
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
LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.
Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
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
EQUIP, the EQUATOR Universal Platform, a framework for developing distributed interactive systems such as Ubicomp installations and pervasive games. It is based around a data-space concept. *NEW* EQUIP2 targets J2EE, J2ME and C++ applications.
An architecture description language (DiaSpec) supports the description of components of a given distributed computing area. From these descriptions, DiaGen generates a dedicated programmingframework to support distributed application development.
WBEM-based framework for managing providers to produce information according to the OGF GLUE 2.0 information model and to render them in different formats (e.g., XML, LDAP).
pureIRCd is an IRC Server written C (though throughout the years i've used various programming languages, including VB6, VB.net C#, and am now stuck with C) to provide a fresh IRC (RFC1459) implementation and avoid the clutter of existing solutions.
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.
NGrid is a transparent C# .Net/mono grid computing model. NGrid abstracts the burden of the grid into a simple multithread and garbage collected programming model. NGrid is designed to carry computationally intensive tasks over multiple machines.