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Programming Massively Parallel Processors, 3rd Edition
book

Programming Massively Parallel Processors, 3rd Edition

by David B. Kirk, Wen-mei W. Hwu
November 2016
Intermediate to advanced content levelIntermediate to advanced
576 pages
18h 22m
English
Morgan Kaufmann
Content preview from Programming Massively Parallel Processors, 3rd Edition
Chapter 2

Data parallel computing

David Luebke

Abstract

This chapter introduces the concept of data parallelism and the essential CUDA C feature 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 API functions. It further introduces the basic structure of a CUDA C kernel function, built-in variables, function declaration keywords, and kernel launch syntax.

Keywords

Data parallelism; scalable parallel program; thread; kernel; API; RGB; greyscale; kernel launch; execution configuration n parameters; data transfer; error handling; stub function; SPMD

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Publisher Resources

ISBN: 9780128119877