August 2015
Intermediate to advanced
286 pages
5h 42m
English
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Chapter 6. GPU Programming with Python
In this chapter, we will cover the following recipes:
- Using the PyCUDA module
- How to build a PyCUDA application
- Understanding the PyCUDA Memory Model with matrix manipulation
- Kernel invocations with GPUArray
- Evaluating element-wise expressions with PyCUDA
- The MapReduce operation with PyCUDA
- GPU programming with NumbaPro
- Using GPU-accelerated libraries with NumbaPro
- Using the PyOpenCL module
- How to build a PyOpenCL application
- Evaluating element-wise expressions with PyOpenCL
- Testing your GPU application with PyOpenCL
Introduction
The graphics processing unit (GPU) is an electronic circuit that specializes in processing data to render images from polygonal primitives. Although they were designed to carry out rendering images, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.