Open Source C Clustering Software
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C Clustering Software
View 8544 business solutionsBrowse free open source C Clustering Software and projects below. Use the toggles on the left to filter open source C Clustering Software by OS, license, language, programming language, and project status.
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The OpenSSI project is a comprehensive clustering solution offering a full, highly available SSI environment for Linux. Goals for OpenSSI Clusters include availability, scalability and manageability, built from standard servers.
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Thanks to carefully thought out architecture an emulator for all hardware (i386 i860 sparc hppa SGI Mips Alpha etc) on any hardware. A lot of new theories have gone into this trying to fix old problems.
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The Beowulf Distributed Process Space (BProc) is a set of Linux kernel modifications for easy process management and remote process creation in Beowulf style clusters.
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Project name: frecl (free remote control). This project is devoted to a problem of remote controlling PC. (For an example: management of several IR-remote controls of the several computers incorporated into a network, using one or more IR-receivers.).
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ODDAS will consist of an inexpensive main board running embedded Linux and a bus of sensor modules. The main board may connect with others via ethernet.
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64-Bit journaled filesystem for Linux and Windows 2000, supporting ACLs, Named Streams, directory indexing, and Unicode.
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U4X, pronounced 'eu-phor-ix', is a linux distribution suited for multimedia professionals as well as the at-home amatuers. U4X includes such features as a modified kernel, verbose shell, journaling file system, and clustering capabilities.
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Zeus Grid is a Grid Computing environment usefull to run systems in heterogenous machines at same time. In this first step, it will only compile, run and collect application results and file storage.
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Strength in numbers. Existing products we're involved in include port to Linux of Tony Forbes' MFAC for brute-force factorization of MM61 for relatively small factors, and further development and improvement of Tim Charron's ECMnet distributed computing f
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