May 2022
Intermediate to advanced
580 pages
18h 32m
English
book
Programming Massively Parallel Processors, 4th Edition
by Wen-mei W. Hwu, David B. Kirk, Izzat El Hajj
Content preview from Programming Massively Parallel Processors, 4th Edition
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Chapter 2
Heterogeneous data parallel computing
With special contribution from David Luebke
Abstract
This chapter introduces the concept of data parallelism and the essential CUDA C features for writing a simple CUDA C program. It starts with the concept of threads, host, and device. It introduces CUDA device memory management and data transfer applications programming interface functions. It further introduces the basic structure of a CUDA C kernel function, built-in variables, function declaration keywords, and kernel launch syntax. It concludes with a brief overview of the compilation process for CUDA C programs.
Keywords
Data parallelism; scalable parallel program; CUDA C; thread, kernel; applications programming interface (API); host code; ...
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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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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.