May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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CPU
When you develop your code and invoke the GPU for delivering intense computational tasks, the CPU will still be responsible for fetching the computed results back and reporting them on your display. The operating system and applications instances would all be running because of the CPU, which is why it should be good at multitasking. Hence, choosing an equally compatible CPU is also very essential in order to get the most out of your GPU computing programs. Choosing an unevenly matched CPU paired with a high-end GPU can lead to bottlenecking, which can restrict GPU performance, thereby not allowing you to get the most out of it.
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