November 2015
Intermediate to advanced
352 pages
9h 45m
English
book
CUDA for Engineers: An Introduction to High-Performance Parallel Computing
by Mete Yurtoglu, Duane Storti
Content preview from CUDA for Engineers: An Introduction to High-Performance Parallel Computing
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Appendix A. Hardware Setup
A CUDA-enabled parallel computing system includes both hardware and software components. Here we deal with the necessary hardware component: a CUDA-enabled GPU. We start by describing how to determine if your system has a CUDA-enabled GPU. That procedure depends on operating system, so read the section (Windows, OS X, or Linux) that applies to your system. (If the manufacturer of your system was nice enough to put a green NVIDIA sticker in a visible location, you can note the model and proceed directly to the section on “Determining Compute Capability.”) We then discuss how to acquire and/or install a CUDA-enabled GPU, which depends on your hardware platform. Once again, read the section that applies to you.
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