November 2015
Intermediate to advanced
352 pages
9h 45m
English
book
CUDA for Engineers: An Introduction to High-Performance Parallel Computing
by Mete Yurtoglu, Duane Storti
Content preview from CUDA for Engineers: An Introduction to High-Performance Parallel Computing
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Chapter 6. Reduction and Atomic Functions
In this chapter we deal with computations where all of the threads interact to contribute to a single output. Many such computations lead to a pattern known as reduction, which involves an input array whose elements are combined until a single output value is obtained. Applications include dot products (a.k.a. inner products or scalar products), image similarity measures, integral properties, and (with slight generalization) histograms.
Threads Interacting Globally
In Chapter 5, “Stencils and Shared Memory,” we took the first serious step toward dealing with interaction between computational threads, but stencil computations only involve local interactions between threads that are nearby in the grid. ...
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