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 Linux.
