Programming in Parallel with CUDA. A Practical Guide, Hardback/***

This practical guide shows how to analyse, manipulate or simulate scientific or other numerical data using the power of modern GPUs to greatly increase the speed of calculations. Aimed at researchers and graduate students, it contains numerous real-world examples in clear uncluttered C++ code. All example code is available online. Publisher: Cambridge University Press Author(s): Richard (University of Cambridge) Ansorge Illustration(s): Worked examples or Exercises Number of pages: 395 Publication date: 2022 Dimensions: 184 x 261 x 28 Cover type: Hardback