Showing 7 open source projects for "threads"

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  • 1

    asyncoro

    Python framework for asynchronous, concurrent, distributed programming

    ...Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security
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  • 2
    Channel is a C++ framework for distributed message passing and event dispatching, configurable with its components (msg ids,routing algorithms...) as template parameters. As a namespace shared by peer threads, channel supports scope control and filtering
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  • 3
    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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  • 4
    FMACJ is a parallelization framework for the .NET CLR that gives your applications multicore/cluster support by saying what should be parallelized via attributes. You do not have to think about threads and networks at all. FMACJ also runs on Mono.
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  • 5
    The software provides a means to form a simple Java cluster. It can be also viewed as a parallel computing library in Java. The project is based on the following <a href='http://www-106.ibm.com/developerworks/java/library/j-super.html'>article</a>
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  • 6
    GlobalEnvironment provides globally shared key-value pairs for different Java threads, JVMs, J2EE (EJB and JSP), Java and non-java applications. See other <a href="http://acelet.com/super">J2EE tools</a> other information.
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  • 7
    The BCR flavor of Cooperative Data Sharing (CDS) is a scalable, portable, flexible C-based API and daemon for initiating and communicating between processes/threads in uniprocessor and multiprocessor (e.g. distributed, SMP, and parallel) platforms.
    Downloads: 0 This Week
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