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FAIN SNAP provides an active network programming language and interpreter. It allows finite state machines to be operated over a number of network elements. Its main use is to program firewalls and raise alerts. It is a native Debian distribution.
Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.
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.
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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.
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.
Ohua is an implementation of the stateful functional programming model along with a dataflow execution engine as a runtime system. Ohua mixes object-oriented (imperative) and functional programming to provide implicit parallelism.
The project moved. Please find the most up-to-date version at:
https://bitbucket.org/sertel/ohua
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.
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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
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.
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.
Pyxida provides distributed applications with network coordinates, a simple method to predict latencies between hosts in a network. AsyncJ is a general-purpose asynchronous NIO library designed for efficient distributed programming without threads.
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
Design and development of visual programming interface to allow specification, loading, execution and termination of specified simulation runs. It should be capable of allowing secure remote control flow setup, execution / termination of simulation jobs
An architecture description language (DiaSpec) supports the description of components of a given distributed computing area. From these descriptions, DiaGen generates a dedicated programming framework to support distributed application development.
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.
The goal of the Ibis project at the Vrije Universiteit Amsterdam is to provide an efficient and flexible Java-based programming environment for Grid computing.
Ibis provides several communication models, including a highly efficient RMI implementation.
TPO++ is an object-oriented message passing library intended for parallel programming. It is based on the Message Passing Interface (MPI) but allows to transmit objects and data structures of the standard template library.
Self Organization of an adaptive learning framework for pervasive graph structures from grids, utilities to semantic governance. Business, performance and provisioning assurance are converged with EGA, ITIL, eTOM,SOX, HIPPA, CobiT and AC
Programming libraries for writing an XMLDC (XML Distributed Computing) applications in C++. XMLDC is a XML-based protocol for remote procedure calls (RPC) between different systems. XMLDC is more powerful than XML-RPC and much simpler than SOAP or CORBA.