Showing 5 open source projects for "v2rayn-windows-64-"

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  • 1

    mtsieve

    A multi-threading framework using a prime sieve to do work

    ...Another usage could be to use those prime numbers to test each for a specific characteristic, such as whether it is a Wieferich or Wall-Sun-Sun number. The framework is portable to any OS running on x86-64 and supports GPUs.
    Downloads: 10 This Week
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  • 2
    Monte Carlo eXtreme (MCX)

    Monte Carlo eXtreme (MCX)

    Physically accurate and validated GPU ray-tracer

    MCX is a GPU-accelerated, general-purpose, physically-accurate and feature-rich 3-D light transport simulator. It is one of the fastest simulators because it can use tens of thousands of GPU threads to simulate photons in parallel.
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    Downloads: 107 This Week
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  • 3
    TomoJ

    TomoJ

    ImageJ plugin to perform Electron Tomography

    TomoJ is an ImageJ plug-in for tomographic reconstruction. It was designed for electron tomography, however any acquisition with parallel beam should work. TomoJ proposes the preprocessing and the registration of tilt-series prior to 3D reconstructions (WBP, ART, SIRT, OS-SART, compressed sensing). TomoJ is written in Java, the computations are multithreaded and reconstruction can be performed on CPU or GPU (OpenCL). registration is described in: Journal of Structural Biology: X....
    Downloads: 11 This Week
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  • 4

    octave-ocl

    OpenCL support for GNU Octave

    The Package is installable in GNU Octave and offers OpenCL support for parallelization of numerical computations. It is most effective for computations which are based on large vectors or n-dimensional arrays of numbers, and mostly (but not limited to) identical element-wise operations. The user can select which available OpenCL hardware and drivers are to be used. The Package offers new numeric data types with many built-in operations (e.g., overloaded operators). It is flexibly...
    Downloads: 2 This Week
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  • 5
    brainCL_chung
    brainCL chung is a small program with dll to compute 3 to 4 layers neural networks with bulk training learn input data to bulk output data using openCL (cpu or gpu) acceleration written in easy fast freebasic
    Downloads: 0 This Week
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