Programming Massively Parallel Processors

Name: Programming Massively Parallel Processors
Brand: Elsevier Science
SKU: 9780443439001
Price: 91.91 EUR
Availability: InStock

A Hands-on Approach

Autor: Wen-mei W. Hwu, David B. Kirk, Izzat El Hajj

Jazyk:

Väzba: Brožovaná

Vydavateľ: Elsevier Science

Dostupnosť: 50 % šanca

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91.91 €

Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals...

Informácie o knihe

Autor

Wen-mei W. Hwu, David B. Kirk, Izzat El Hajj

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2026

Stránok

625

EAN

9780443439001

ISBN

0443439001

Enbook ID

49108840

Vydavateľ

Elsevier Science

Hmotnosť

450

Rozmery

191 x 235

Kompletný popis

Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This new edition has been updated for the latest trends, incorporating the latest techniques and technologies to ensure that readers are learning the most current and relevant practices in GPU programming.

Introduces fundamental GPU programming concepts in a simple and approachable way, making it ideal for beginners, while gradually building up to more advanced topics
Beyond just teaching GPU programming basics, the book goes deeper by showing how to optimize parallelized code for real-world applications
Includes numerous worked examples that illustrate how to implement and optimize GPU programming patterns
Addresses the growing importance of deep learning and includes content on how GPUs are used in modern AI applications

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Programming Massively Parallel Processors

A Hands-on Approach

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