November 2018
Intermediate to advanced
310 pages
7h 54m
English
Content preview from Hands-On GPU Programming with Python and CUDA
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Testing PyCUDA
Finally, we're at the point where we can see whether our GPU programming environment actually works. We will run a small program from the next chapter that will query our GPU and yield some relevant information about the model number, memory, number of cores, architecture, and so forth. Get the Python file (deviceQuery.py) from directory 3 in the repository, which is also available at https://github.com/PacktPublishing/Hands-On-GPU-Programming-with-Python-and-CUDA/blob/master/3/deviceQuery.py.
If you are using Windows, be sure to launch the GPU programming environment by launching the .bat file on our desktop we made in the last section. Otherwise, if you are using Linux, open a bash Terminal. Now type the following line and ...
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