November 2018
Intermediate to advanced
310 pages
7h 54m
English
Content preview from Hands-On GPU Programming with Python and CUDA
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Why GPU Programming?
It turns out that besides being able to render graphics for video games, graphics processing units (GPUs) also provide a readily accessible means for the general consumer to do massively parallel computing—an average person can now buy a $2,000 modern GPU card from a local electronics store, plug it into their PC at home, and then use it almost immediately for computational power that would only have been available in the supercomputing labs of top corporations and universities only 5 or 10 years ago. This open accessibility of GPUs has become apparent in many ways in recent years, which can be revealed by a brief observation of the news—cryptocurrency miners use GPUs to generate digital money such as Bitcoins, geneticists ...
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