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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Setting up our Python environment for GPU programming
With our compilers, IDEs, and the CUDA Toolkit properly installed on our system, we now can set up an appropriate Python environment for GPU programming. There are many options here, but we explicitly recommend that you work with the Anaconda Python Distribution. Anaconda Python is a self-contained and user-friendly distribution that can be installed directly in your user directory, and which does not require any administrator or sudo level system access to install, use, or update.
Keep in mind that Anaconda Python comes in two flavors—Python 2.7, and Python 3. Since Python 3 is currently not as well-supported for some of the libraries we will be using, we will be using Python 2.7 in this ...
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