Open Source Distributed Computing Software - Page 24
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Distributed Computing Software
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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.
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The objective of the Life Sciences Identifier (LSID) project is to develop a reference implementation of the LSID standards proposal currently being developed by the Technical Architecture Group of the I3C (www.i3c.org).
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A lightweight, platform-neutral framework for decoupled communications. Development has moved to http://github.com/lwes/
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A Java library that simplifies thread development. It has support for continuations, fork/merge, signals, thread and process serialization, event picker (similar to BPEL's pick element), among other features.
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LinProg.NET is a framework for mathematical programming, supporting linear, integer, boolean and quadratic programming.
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LinuxTuples is an open-source implementation of David Gelernter's idea of a tuple space, designed to run on a networked cluster of Linux machines.
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This Project aims to create a Linux Distribution focused on the IBM zOS system, it includes a set of Mainframe tools, based all in Linux Kernel modules, C and Python. -MainFrame Access Methods -ISPF menus -REXX scripting -RACF security -JCL Batch Job
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LiveScreen makes it possible to publish GUI screenshots that users can interact with. Unlike other remote desktop solutions, no special client is required. Web browsers can act as clients without employing helper apps, plugins or Java.
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The 'Monitor' application, which consists of 2 parts, a MonitorServer (linux daemon) and a MonitorClient (java gui), will enable the user to monitor and log server process, memory, network and cpu information of multiple servers at a time.
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A transparent network messaging system for offloading computations to other possibly more capable machines when they are available. The intended use of the system is for when the results of a computation aren't needed immediately.
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A distributed logging & monitoring WS architecture using WS-Notification (WSN) as well as a Log4J appender that implements an appropriate adapter. Software components that already use Log4J can be integrated non-intrusively.
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Logical Neighborhoods is a a high-level programming abstraction for wireless sensor networks that simplifies the development of fully distributed, embedded networked applications.
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Loki Render
A simple and easy to use render farm for Blender
Loki Render allows you to create your own render farm, serving Blender render jobs to a group of computers. Loki is easy to setup and runs on Linux, Windows or Mac, making it a quick and flexible distributed network rendering solution! -
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MACOW is a formal and scalable mandatory access implementation suitable on open worlds such as the provided on Semantic Web, Autonomic Computing and Coaltions and Federations scenarios. It is able to access control on distributed systems.
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A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
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MCE Controller
MCE Controller has been moved to CodePlex. http://mcec.codeplex.com/
MCE Controller home page: http://mcec.codeplex.com/ -
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MGM GridComputing
Cross-platform grid computing solution
MGM GridComputing is a cross-platform solution to distribute time-thirsty tasks such as number crunching to a grid of connected clients. -
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MIC* comes with a new vision of multi-agent system engineering: The multi-agent system is devided explicitly into two dimensions: the deployment environment and the autonomous agents. MIC* is an algebraic model of a deployment environment (container of a
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Patches to the Quake II game engine to enable it to run as a massively multiplayer online game with one world spanning multiple servers.
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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
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MPIRuby is a Ruby version of the MPI supercomputing standard interface. It enables massively parallel and distributed algorithms to be written in a platform-independent manner suitable for large-scale computation-intensive experiments. MPI is the \"Mes
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MPY is an MPI implementation for Python using MPICH (or any other MPI implementation). MPY also provides helper functions for ease of programming, and a simple plug-in interface.
