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CUDA™ is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).
CUDA was developed with several design goals in mind:
CUDA-capable GPUs have hundreds of cores that can collectively run thousands of computing threads. These cores have shared resources including a register file and a shared memory. The on-chip shared memory allows parallel tasks running on these cores to share data without sending it over the system memory bus.
This guide will show you how to install and check the correct operation of the CUDA development tools.
To use CUDA on your system, you will need the following:
This document is intended for readers familiar with the Linux host environment, and the compilation of Android NDK programs from the command line. You do not need previous experience with CUDA or experience with parallel computation. Note: This guide covers installation only on systems with X Windows installed.
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