September 2014
Intermediate to advanced
512 pages
12h 39m
English
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Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA
Graphics Processing Units (GPUs) are powerful processors specialized in real-time rendering. We find GPUs in virtually any computer, laptop, video game console, tablet, or smartphone. Their massively parallel architecture comprises tens to thousands of cores. The video game industry has been fostering the development of increasingly powerful GPUs over the last two decades.
GPUs are routinely used in modern supercomputers (for example in Cray's Titan at Oak Ridge National Laboratory, ~20 petaFLOPS, ~20,000 CPUs, and as many NVIDIA GPUs). A high-end $1000 GPU today is roughly as powerful as a $100 million supercomputer from 2000 (several teraFLOPS).
Note
FLOPS means FLoating-point ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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