Programming in Parallel with CUDA
Zusammenfassung
The feel-good place to buy books

Programming in Parallel with CUDA by Richard Ansorge
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.
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).
| SKU | Nicht verfügbar |
| ISBN 13 | 9781108479530 |
| ISBN 10 | 1108479537 |
| Titel | Programming in Parallel with CUDA |
| Autor | Richard Ansorge |
| Buchzustand | Nicht verfügbar |
| Bindungsart | Hardback |
| Verlag | Cambridge University Press |
| Erscheinungsjahr | 2022-06-02 |
| Seitenanzahl | 395 |
| Hinweis auf dem Einband | Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden. |
| Hinweis | Nicht verfügbar |