Open Source Linux Distributed Computing Software - Page 44

Distributed Computing Software for Linux

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  • 1
    mpiGraph is designed to inspect the health and scalability of a high-performance interconnect while under heavy load. This is useful to detect hardware and software problems in a system, such as slow nodes, links, switches, or routing contention.
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  • 2
    A very lightweight Python program that executes commands on multiple Linux hosts in a user-designated number of threads via SSH. Intended for management for a large number of Linux/Unix nodes
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  • 3
    mxtraf is a network traffic generator. With mxtraf, a small number of hosts can be used to saturate a network with a tunable mix of TCP and UDP traffic. The primary purpose of mxtraf is to allow stress testing of experimental network protocols. m
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  • 4
    myHadoop
    *UPDATE* myHadoop is no longer being updated on SourceForge. For the latest, check it out on GitHub at: https://github.com/glennklockwood/myhadoop/ myHadoop is a simple system for end-users to provision Hadoop instances on traditional supercomputing resources, without requiring any root privileges. Users may use myHadoop to configure and instantiate Hadoop on the fly via regular batch scripts.
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  • 5
    myMAS is a framework for writing distributed, agent based Java applications.
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  • 6
    N3Talk framework with facilities: Java Object Mirroring - watch a little sample of this feature: http://n3talk.sourceforge.net/
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  • 7
    nemosomen is a framework for designing open source, network based, multimedia (video/openGL/sound/MIDI) realtime toys a suite of tools for distributed development, processing of media. It tries to shift most of the working process in realtime processes.
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  • 8
    Netcluster is a framework for writing parallel programs. Its main objective is to utilize the idle time of computers on a LAN by distributing tasks amongst them. The package consists of a daemon running on all volunteering machines, and a library to provi
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  • 9

    neuranep

    Neural Network Engineering Platform

    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. This project is a fork of SpikeOS (sourceforge.net/projects/spikeos) and represents a major update to that code base, including a scripting interface and low-level rewrite of several components. SpikeOS was oriented towards computational modeling. NeuraNEP is oriented toward neural network research.
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  • 10
    Numerical package Parallel EXECution. Using a numerical package like Octave, 'npexec' distribute computation of a math formula among various network elements, collecting result automatically. ->y=npexec('fft(x.^m)', 'm=-8:8','x=ARG');
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  • 11
    omflopix is openMosix cluster on single floppy with support all 10/100/1000 NICs and not support IDE/SCSI. This is only for test and example openMosix features.
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  • 12
    omniEvents is an implementation of the OMG Event Services Specification v1.1 for omniORB, a CORBA Object Request Broker for C++ and Python.
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    5.0 out of 5 stars 2 Reviews
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  • 13
    omniifr is an Interface Repository for omniORB, a CORBA Object Request Broker for C++ and Python. The CORBA Interface Repository stores information about the types and interfaces used in a CORBA system, so they may be queried dynamically at run-time.
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  • 14
    omuscd is an User Space Cluster Daemon for use with the openMosix 2.6 kernel extension for single-system image clustering. The daemon provides process migration management and communication between networked computers to construct a cluster.
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    sandboss is a messaging framework generator that creates complete communications, persistency, UI forms, configuration management, and runtime control infrastructure from struct and node declarations. Full generator support in the dependency-aware build
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    openCP is a fork of vhcs. Short term goals are: feature freeze, bug fix's and a more open developement cycle. Long term aims are: to be a scalable, distributed system to manage components of a HOSTING environment from a central management server.
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  • 17
    The openMosixApplet lets you watch the realtime load of your openMosix cluster. It consists of a local daemon which listens for connections by applets. The applet uses chart2D to provide a good-lookin' feeling.
    5.0 out of 5 stars 1 Review
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  • 18
    openMosix HOWTO
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  • 19
    openMosixLOAF is a single floppy openMosix Linux mini-distro designed for diskless systems or HPC clusters where only CPU and memory is needed. It has drivers for all PCI Ethernet NICs that the Linux kernel has support for (10/100/1000).
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  • 20
    openSSI webView is a simple and easy-to-use openSSI cluster monitoring system. Its web interface provides a quick overview of the cluster state, by graphing vital functions and graphically representing key figures.
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  • 21
    pxe bootable, diskless openmosix based cluster node. tools to manage these nodes, along with skeleton installs for nodes with disk, as well as workstation nodes for starting processes to be migrated
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  • 22
    osESB is a free, open source Enterprise Service Bus (ESB) designed to run on a Java 2 Enterprise Edition (J2EE) application server.
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  • 23
    p2p4Peppa
    Italian version of the game Hearts. The game use a central server for chat and authentication; the table is p2p among players. The game supports n-1 crashes of the playing peers.
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  • 24
    pam_cifs is a Linux-PAM module to mount and unmount CIFS shares on login on a per-user basis
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  • 25
    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.
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