Thrust
A Productivity-Oriented Library for CUDA
Nathan Bell and Jared Hoberock
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. Applications written with Thrust are concise, readable, and efficient.
26.1 Motivation
With the introduction of CUDA C/C++, developers can harness the massive parallelism of the GPU through a standard programming language. CUDA allows developers to make fine-grained decisions about how computations are ...
Get GPU Computing Gems Jade Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
