Open Source Mac Distributed Computing Software - Page 15

Distributed Computing Software for Mac

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  • 1
    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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  • 2
    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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  • 3
    Object Oriented Python bindings for the Message Passing Interface (MPI)
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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.
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  • 5
    MQbench is a graphical message passing (mpi, mpich) benchmark, which involves Qt for graphical view of different MPI Calls. MQbench has the abiltiy to benchmark the communication behaviour between different groups of clusternodes with a single click.
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    ============================= THIS CODE IS DEPRECATED ============================= For updated information about MTSA visit: http://mtsa.dc.uba.ar
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    MUSCLE

    Client-server networking library

    The MUSCLE system is a fast, portable, flexible client-server system for distributed applications. Clients send BMessage-like PortableMessages to each other either directly or via a centralized server (with built-in database and 'live query' support).
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  • 8
    An easy-to-use simulator for decentralized distributed scheduling in Clusters, Grids, and Cloud ecosystem MaGate 2.0 is now available from github! https://github.com/huangye177/magate
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  • 9
    Macaroni is the JAVA open source framework promoting the production, detection, consumption of, and reaction to events.
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  • 10
    Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
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  • 11

    Madara

    Middleware for distributed applications

    The purpose of the project is to develop a portable programming framework that facilitates distributed and multi-threaded programming for C++, Java, and Python. MADARA was originally developed as an agent-based middleware specifically for real-time, distributed artificial intelligence, but is now more general purpose for distributed timing, control, knowledge and reasoning, and quality-of-service. MADARA is composed of several tools and middleware, and the main entry point into the system is the Knowledge and Reasoning Language (KaRL) Engine, which provides a real-time scripting language for nanosecond execution times hooked into a flexible transport layer for distributed reasoning. The KaRL engine also supports object-oriented C++, Java, and Python programming through Containers, classes that provide abstractions and references for variable location within the KaRL Knowledge Base. This project is currently in process of being ported from http://madara.googlecode.com.
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  • 12
    The project Mandala helps the development of concurrent and/or distributed applications. It is based on the asynchronous reference concept which provide asynchronous and potentially remote method invocation.
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    Mandarax is a pure Java implementation of a rule engine. It supports mutiples types of facts and rules based on reflection, databases, EJB etc, supporting XML standards (RuleML 0.8). It provides a J2EE compliant inference engine using backward chaining.
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  • 14
    A peer-to-peer overlay network useful for dynamically discovering and defining cluster geometry.
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  • 15
    MapPSO
    MapPSO is a tool for Ontology Alignment, which uses Discrete Particle Swarm Optimisation. A particle swarm is used to search for the optimal alignment. The algorithm is massively parallel and adapts naturally on parallel architectures.
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    MassiveJava is a Java-based environment for parallel programming. Lithium is able to execute the parallel application using a cluster or a network of workstations. A user is able to program a parallel application without take in account problem like sche
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    The MathForge Application Environment provides users a broad range of Java-based math tools (calculation, visualization, presentation and communication via MathML) and allows developers to leverage existing code while extending MathForge.
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    The Maui Scheduler is a tool to to extend the capabilities of existing resource manager systems such as PBS, SGE, Loadleveler, and so forth. It provides powerful tools for managing and optimizing clusters systems and features to enable effective use of t
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  • 20
    A maven2 plugin to package grid-services into a GAR archive using the Globus Toolkit 4 (GT4 must be installed and set up for this Plugin to work).
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  • 21
    A light weigth high performance cluster server to link several Java machines into one logical unit. Medusa does not compete with J2EE servers but allows clustering of standard Java code for fail-over, redundancy and processing power.
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  • 22
    MKS CORE SYSTEMS DEVELOPMENT * Project and Knowledge Management System * Collaborative Messaging and integrated Workflow engine * On-line voting, scoring and reviews * Template based Project Creation * Tree-based Knowledge Mapping
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    A distributed map for Java. http://mirrormap.sourceforge.net/.
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  • 24
    Wireless and Small Devices implementations normally support the Http Connection interface, which allows application to be portable across different mobile information devices by using HTTP as the underlying protocol. HTTP in spite of obvious advantages i
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  • 25
    MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
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