CUDA Application Design and Development

Rob Farber

ISBN 10: 0123884268 / ISBN 13: 9780123884268

Edité par Morgan Kaufmann, 2011

A propos de cet article

As new copy. A tight, bright, and clean copy with no inscriptions and no annotations/notes. No creasing to spine/cover or foxing to pages. Fantastic condition book. 315pp. (19x23.5cm). Please contact us for any more information.

N° de réf. du vendeur 7587

Détails bibliographiques

• Titre: CUDA Application Design and Development
• Éditeur: Morgan Kaufmann
• Date de parution: 2011
• Langue: anglais
• ISBN à 10 chiffres: 0123884268
• ISBN à 13 chiffres: 9780123884268
• Reliure: Soft cover
• Édition: 1st Edition
• État de l'article: As New
• Catalogues du vendeur:
  • Technology
  • Computing

A propos de ce titre

Synopsis

As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan. The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications. Throughout, the focus is on software engineering issues: how to use CUDA in the context of existing application code, with existing compilers, languages, software tools, and industry-standard API libraries. Using an approach refined in a series of well-received articles at Dr Dobb's Journal, author Rob Farber takes the reader step-by-step from fundamentals to implementation, moving from language theory to practical coding.

À propos de l?auteur

Rob Farber has served as a scientist in Europe at the Irish Center for High-End Computing as well as U.S. national labs in Los Alamos, Berkeley, and the Pacific Northwest. He has also been on the external faculty at the Santa Fe Institute, consultant to fortune 100 companies, and co-founder of two computational startups that achieved liquidity events. He is the author of "CUDA Application Design and Development" as well as numerous articles and tutorials that have appeared in Dr. Dobb's Journal and Scientific Computing, The Code Project and others.