July 2024
Intermediate to advanced
436 pages
10h 46m
English
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Preface to the First Edition
This document is intended for scientists and engineers who develop or maintain computer simulations and applications in Fortran, and who would like to harness parallel processing power of graphics processing units (GPUs) to accelerate their code. The goal here is to provide the reader with the fundamentals of GPU programming using CUDA Fortran as well as some typical examples, without having the task of developing CUDA Fortran code become an end in itself.
The CUDA architecture was developed by NVIDIA to allow use of the GPU for general purpose computing without requiring the programmer to have a background in graphics. There are many ways to access the CUDA architecture from a programmer's perspective, including through ...
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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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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.