Showing 6 open source projects for "parallel computing datamaning"

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  • 1
    PMCGPU

    PMCGPU

    Parallel simulators for Membrane Computing on the GPU

    Membrane Computing is a new research area (within Natural Computing) that aims to provide computing devices abstracted from the functioning and structure of living cells. These devices are called P systems. The objective of this project (PMCGPU) is to bring together all the researchers working on the development of parallel simulators for P systems, specially those using the GPU (e.g.
    Downloads: 2 This Week
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  • 2

    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...
    Downloads: 0 This Week
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  • 3
    Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
    Downloads: 0 This Week
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  • 4
    Open FMM ( http://www.openfmm.net ) is and open source EM software project. It consist of a fast parallel two-dimensional TM/TE solver called Nero2d.
    Downloads: 0 This Week
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  • 5
    The CodeTime platform covers every aspect of parallel software from authoring, through distribution, to run-time. Its goals are: high programmer productivity; write once, run high performance anywhere; and wide acceptance.
    Downloads: 0 This Week
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  • 6
    This project aims to modify Parallel Virtual Machine (PVM) to use benefits of RDMA-capable network interconnects, commonly used in HPC clusters.
    Downloads: 0 This Week
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