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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 13

CUDA dynamic parallelism

Juan Gómez-Luna and Izzat El Hajj

Abstract

This chapter introduces CUDA dynamic parallelism, an extension to the CUDA programming model that enables a CUDA kernel to create new thread grids by launching new kernels. Dynamic parallelism allows algorithms that dynamically discover new work to prepare and launch kernels without burdening the host or resorting to complex software techniques. The chapter starts with a simple pattern that benefits from dynamic parallelism. It then presents the essential concepts required in the practical use of dynamic parallelism: memory data visibility, device configuration, memory management, synchronization, streams, and events. It then uses two advanced examples, Bezier Curve ...

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Publisher Resources

ISBN: 9780128119877