December 2012
Intermediate to advanced
514 pages
13h 6m
English
Content preview from Programming Massively Parallel Processors, 2nd Edition
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Chapter 16
ThrustA Productivity-Oriented Library for CUDA
Chapter Outline
16.1 Background
16.2 Motivation
16.3 Basic Thrust Features
16.4 Generic Programming
16.5 Benefits of Abstraction
16.6 Programmer Productivity
16.7 Best Practices
16.8 Exercises
This chapter demonstrates how to leverage the Thrust parallel template library to implement high-performance applications with minimal programming effort. Based on the C++ Standard Template Library (STL), Thrust brings a familiar high-level interface to the realm of GPU computing while remaining fully interoperable with the rest of the CUDA software ecosystem. Thrust provides a set of type-generic parallel algorithms ...
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