Support heterogeneous computation where applications use both the CPU and GPU. With CUDA C/C++, programmers can focus on the task of parallelization of the algorithms rather than spending time on their implementation. Provide a small set of extensions to standard programming languages, like C, that enable a straightforward implementation of parallel algorithms. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).ĬUDA was developed with several design goals in mind:
Introduction ĬUDA ® is a parallel computing platform and programming model invented by NVIDIA.
The installation instructions for the CUDA Toolkit on MS-Windows systems. CUDA Installation Guide for Microsoft Windows
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