August 2015
Intermediate to advanced
286 pages
5h 42m
English
Content preview from Python Parallel Programming CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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How to build a PyCUDA application
The PyCUDA programming model is designed for the common execution of a program on a CPU and GPU, so as to allow you to perform the sequential parts on the CPU and the numeric parts, which are more intensive on the GPU. The phases to be performed in the sequential mode are implemented and executed on the CPU (host), while the steps to be performed in parallel are implemented and executed on the GPU (device). The functions to be performed in parallel on the device are called kernels. The steps to execute a generic function kernel on the device are as follows:
- The first step is to allocate the memory on the device.
- Then we need to transfer data from the host memory to that allocated on the device.
- Next, we need to run ...
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