May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Coupling Python with CuPy
Since we have already learned about CUDA's installation and implementation, it will now be easier for us to get started with our CuPy installation procedure for Python, as it was originally developed to implement CUDA. As we have also learned about Anaconda and its setup, we can make use of Python 2.x or 3.x, which are readily available with an existing Anaconda configuration. Setting up CuPy will enable implementing CUDA kernels within your existing Python setup of choice and then compute with it on your NVIDIA GPU.
The NVIDIA driver version installed system-wide should always be greater than, or at least be the same as, the toolkit (Conda package) version. If a system has CUDA 9.0 (both the driver and toolkit installed ...
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