Open Source Symmetric Multiprocessing (SMP) Software

Browse free open source Symmetric Multiprocessing (SMP) software and projects below. Use the toggles on the left to filter open source Symmetric Multiprocessing (SMP) software by OS, license, language, programming language, and project status.

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  • 1
    Open source Algol 68 implementations

    Open source Algol 68 implementations

    Implementations for the Revised Report language

    This project offers open source implementations for UNESCO/IFIP's Algol 68 (the Revised Report language). The project offers two implementations: Implementation 1 is Algol68G: a recent checkout hybrid compiler/interpreter by Marcel van der Veer, supporting arbitrary arithmetic, partial parametrisation, complex numbers, POSIX threads, GNU plotutils, GNU scientific library, curses, sound, TCP sockets, RegEx and PostgreSQL. Inplementation 2 is algol68toc, a port by Sian Mountbatten of the vintage Algol68RS (UK Defense Research Agency) compiler. The implementation emits C code.
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    Downloads: 6 This Week
    Last Update:
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  • 2
    FFT-z
    Fast Fourier Transforms (FFT) for Multi-CPU (and RAM) Stress Testing. Shows detailed information about physical and logical processors in the system. Included CPU Benchmark feature for speed testing. Automatically utilizes and tests all CPU cores.
    Downloads: 1 This Week
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  • 3
    Parallel Events and Asynchronous tasKing Library. Originally combining multi-threading with an efficient I/O event model, it's now more a lightweight object-oriented framework for event-based applications.
    Downloads: 3 This Week
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  • 4
    SirVer
    SirVer is an C# Web Server with a script language supported by the Framework .Net and Mono
    Downloads: 1 This Week
    Last Update:
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  • 5
    Brahma is an open-source library written for the .NET 3.5 framework (in C# 3.0), to provide high-level access to parallel streaming computations on a variety of processors, including GPUs.
    Downloads: 0 This Week
    Last Update:
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  • 6
    EventMachine

    EventMachine

    EventMachine, fast, simple event-processing library for Ruby programs

    EventMachine is an event-driven I/O and lightweight concurrency library for Ruby. It provides event-driven I/O using the Reactor pattern, much like JBoss Netty, Apache MINA, Python's Twisted, Node.js, libevent and libev. Extremely high scalability, performance and stability for the most demanding production environments. An API that eliminates the complexities of high-performance threaded network programming, allowing engineers to concentrate on their application logic. This unique combination makes EventMachine a premier choice for designers of critical networked applications, including Web servers and proxies, email and IM production systems, authentication/authorization processors, and many more. EventMachine has been around since the early 2000s and is a mature and battle-tested library.
    Downloads: 0 This Week
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  • 7
    This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.
    Downloads: 0 This Week
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  • 8

    Java Parallel Loops

    Parallel loops in Java

    A library that makes writing parallel (multithreaded) for loops in Java 5+ easier. It also supports parallel processing of lists and arrays, asynchronous invocation, progress and completion notification, computation interruption and results merging.
    Downloads: 0 This Week
    Last Update:
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  • 9
    PyMW is a Python module for parallel master-worker computing in a variety of environments. With the PyMW module, users can write a single program that scales from multicore machines to global computing platforms.
    Downloads: 0 This Week
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  • 10
    Relacy is a framework for agent-oriented programming in C++. Agents are autonomous objects, they interact fully asynchronously with messages. Relacy provides means for defining user agents and messages, as well as runtime system.
    Downloads: 0 This Week
    Last Update:
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  • 11
    Streams for IBM i

    Streams for IBM i

    Batch performance boosting and Big Data framework for IBM i

    Streamd for IBM i is a suite of tools for IBM i (previously known as AS/400 and iSeries) that can significantly improve performance characteristics of batch processes. Due to extensive use of parallel programming techniques Streams for IBM i delivers significant performance improvements for single streamed batch jobs. Streams for IBM i can split an existing batch process into a number of concurrent streams, completely eliminate backup-related delays, introduce new robust recovery policies and even modify the program logic of existing applications - all without any code modifications. Streams for IBM i includes a feature allowing manipulations of batch job QTEMP libraries.
    Downloads: 0 This Week
    Last Update:
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  • 12
    DKU is an embedded parallel language, or "piggy-back" language that uses function calls to invoke the language's execution model. It tunes task-size to the hardware while hiding hardware details for high performance portability of parallel code.
    Downloads: 0 This Week
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  • 13
    OSlash is a c++ framework for developing decentralized cloud computing services. It includes a programming environment and virtual machine for assembling networks of processing nodes coordinate their operations through message passing.
    Downloads: 0 This Week
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  • 14
    The pycurry project is targeted for handling concurrency issues within the Python programming language. It also contains a (almost) fully functional 'Design by Contract' implementation.
    Downloads: 0 This Week
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  • 15
    xSTreamC is a streaming language developed by STMicroelectronics to support the mapping of data intensive streaming applications on distributed multiprocessor SoCs. A compiler and a simulation library are provided.
    Downloads: 0 This Week
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