FsGPU Contains library and samples to assist general purpose GPU programming
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development Library development library GPU utility GPU Acceleration GPU tester GPU measure GPU general purpose library GPU monitor GPU development general purpose computation Monitor GPU GPU Analysis GPU library GPU Temp gpu-z

FsGPU Description

The FsGPU package contains library and samples to assist general purpose GPU programming in F# for CUDA enabled devices. If you develop computationaly intensive applications, you will probably benefit from massive parallelization on CUDA devices. CUDA is a technology that can be used to harness full power of NVIDIA GPU device(s) installed on usual computer (server or desktop) for general purpose computations(GPGPU). Many applications can be parallelized using data-parallel algorithms and executed on CUDA enabled devices with performance increased in order of magnitude.

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