Search Results for "processing"

LIXA (LIbre XA) is an open source and free Transaction Manager implementing the distributed transaction processing "XA specification" and "TX (transaction demarcation) specification" according to the X/Open CAE Specification. LIXA implements even XTA: XA Transaction API, an innovative API that implements XA transactional context passing among different applications. LIXA is a Transaction Manager but it's not a Transaction Monitor: this is the distinguishing feature of the project. ...

CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable source code with efficient fault-tolerant execution of ATS, C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP, Python, Ruby, or Rust services. The bare essentials for efficient fault-tolerant processing on a cloud!

The main goal of the project is to explore different techniques and approaches related to general communicating processes, simulation, distributed processing, game "world simulation", dynamic signal processing etc.

A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating sensory activity, etc. NeuraNEP handles microthread scheduling, synchronization, distribution and communication. ...

FlowVR is an open source middleware tailored for high performance in situ data processing and analytics running on large parallel machines

DistributedCL is a middleware that provides location-transparent GPU processing to applications developed using the OpenCL API. Moved to GitHub. https://github.com/andrelrt/distributedcl

...DReAMSim has been intentionally developed with a very simple-to-use interface to allow novice programmers implement their own resource management techniques without being bothered with all the hassles of a full-fledged commercial simulator, yet it has the main features required for defining reconfigurable processing elements in a distributed environment.

SECTOR: A Distributed Data Storage and Processing Platform

HOOPLE is a portable collection of C++ source code, featuring thread-safe objects for collections and event processing, RPC-style plugin-based encrypted networking (CROMP / octopus), bookmark collection management utilities, and a lot of other cool stuff. This is the project page for HOOPLE version 1, which was retired on September 25 2010. The code supposedly still builds on both Linux (with gnu gcc) and on Windows (with ms visual studio).

The Open Pervasive Computing Environment facilitates the creation of distributed context-sensitive systems (inc. embedded). It provides a number of frameworks for creating complex event processing systems driving the development of ubiquitous technology.

SimKernel controls parameter scans and iterations for any given C++ code / scientific simulation. Parameters, iteration ranges, settings and dependencies are specified in Mathematica syntax. Parallel processing of parameter scanning via MPI.

Open Source Remote Sensing OSSIM project, pronounced "awesome", will leverage existing algorithms/tools/packages from the open source community in construction of the ultimate Remote Sensing/Image Processing/GIS package. osgPlanet extends OSSIM and Op

This is a library for parallelizing flow data computations on Cell processors.

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.

The project focuses on developing an environment where one can harness idle CPU cycles of numerous networked systems to work together on a particularly processing-intensive problem. (distributed computing you may call it)

This project is a distributed processing system that is dynamically programmable using a custom assembly-type language.

SJSK is collection of daemons for batch processing on multiple machines.

An implementation of a high performance distributed storage and processing system for large amounts of structured data.