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Hybridizer Basic SamplesExamples of C# code compiled to GPU by hybridizer
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ctuning-programsCollective Knowledge extension with unified and customizable benchmarks (with extensible JSON meta information) to be easily integrated with customizable and portable Collective Knowledge workflows. You can easily compile and run these benchmarks using different compilers, environments, hardware and OS (Linux, MacOS, Windows, Android). More info:
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gproshangeometry processing and shape analysis framework
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HiSpatialClusterClustering spatial points with algorithm of Fast Search, high performace computing implements of CUDA or parallel in CPU, and runnable implements on python standalone or arcgis.
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future.batchtools🚀 R package future.batchtools: A Future API for Parallel and Distributed Processing using batchtools
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peakperfAchieve peak performance on x86 CPUs and NVIDIA GPUs
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allgebraBase container for developing C++ and Fortran HPC applications
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hack parallelThe core parallel and shared memory library used by Hack, Flow, and Pyre
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