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  • Home > Linux > Programming > Libraries

    FastFlow 2.0.0

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    Category:
    Aldinucci - Torquati | More programs
    GPL / FREE
    December 10th, 2012, 16:58 GMT [view history]
    ROOT / Programming / Libraries

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    FastFlow description

    Efficient programming for multicore

    FastFlow is multi-core programming framework that implements lock-free MPMC FIFO queues specifically designed to support the development of high-level programming frameworks on cache-coherent multi-core. FastFlow is faster than TBB, OpenMP and Cilk. FastFlow is specifically targeted to support the development of efficient streaming applications on cache-coherent multi-core platforms. It is realised as a C++ template library.

    Vanilla or other flavours

    Fastflow could be directly used to develop efficient multithreaded applications in a TBB fashion. However, it has been designed to support the design and development of high-level programming frameworks on multi-core platforms. They include Problem Solving Environment and general-purpose toolkits. As an example, we are currently developing a FastFlow-based frameworks to support

    * Parallel Monte Carlo simulations;
    * Parallel macro data-flow interpretation with automatic parallelization feature supporting skeletal programming;
    * An extension of Intel TBB supporting general streaming networks;
    * A (blazing fast) parallel memory allocator.

    FastFlow is fast

    We experimentally demonstrate that FastFlow is always more efficient than state-of-the-art multi-core programming frameworks in a set of micro-benchmarks and on a real world application; the speedup edge of FastFlow over other solutions might be bold for fine grain tasks, as an example +35% on OpenMP, +226% on Cilk, +96% on TBB for the alignment of protein P01111 against UniProt DB using Smith-Waterman algorithm.

    FastFlow is open source under GPL.


    Product's homepage

    What's New in This Release: [ read full changelog ]

    · More programming patterns (map/for_all, reduce).
    · Doxygen class documentation.
    · Automatic thread mapping and pinning.
    · Major performance improvements.
    · Several new lock-free algorithms (e.g. fast unbound queue, and several others from other authors).
    · A parallel memory allocator.
    · A distributed version.
    · Examples of GPGPUs usage.

      


    TAGS:

    programming framework | multicore programming | MPMC FIFO | programming | framework | multicore

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