Programming in Parallel with CUDA: A Practical Guide - Couverture rigide

Ansorge, Richard

Couverture rigide

ISBN 10 : 1108479537 ISBN 13 : 9781108479530

Editeur : Cambridge University Press, 2022

Synopsis

CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.

A propos du livre

À propos de l'auteur

Richard Ansorge is Emeritus University Senior Lecturer at the Cavendish Laboratory, University of Cambridge and Emeritus Tutor and Fellow at Fitzwilliam College, Cambridge. He is the author of over 170 peer-reviewed publications and co-author of the book The Physics and Mathematics of MRI (2016).

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 1108479537
• ISBN 13: 9781108479530
• Reliure: Relié
• Nombre de pages: 395
• Coordonnées du fabricant: non disponible
• Personne responsable: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; France