Programmability is crucial to accelerated computing, and NVIDIA��s CUDA Toolkit has been critical to the success of GPU computing. Over three million CUDA Toolkits have been downloaded since its first launch. However, there are many scientists and researchers yet to benefit from GPU computing. These scientists have limited time to learn and apply a parallel programming language, and they often have��
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