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Hands-On GPU Computing with Python
book

Hands-On GPU Computing with Python

by Avimanyu Bandyopadhyay
May 2019
Intermediate to advanced
452 pages
12h 16m
English
Packt Publishing
Content preview from Hands-On GPU Computing with Python

OpenCL

Apart from CUDA-C, CUDA toolkits also come with OpenCL support. The only extra step to take care of here is to install the OpenCL headers package:

sudo apt install opencl-headers

Following this, you will be able to compile a .c or .cpp file containing OpenCL code by running the gcc or g++ compiler with the –lOpenCL flag. The command to compile a .c file using gcc is as follows:

gcc openclprogram.c –lOpenCL

The corresponding command for a .cpp file using g++ is as follows:

g++ openclprogram.cpp -lOpenCL

As we discussed earlier, the basic difference between CUDA and OpenCL is cross-platform compatibility and code syntax. Their generic applicability remains the same. We will explore these similarities and differences through Chapter ...

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Publisher Resources

ISBN: 9781789341072