Multicore and GPU Programming: An Integrated Approach
Author:   Gerassimos Barlas (Professor, Computer Science and Engineering Department, American University of Sharjah, UAE)
Publisher:   Elsevier Science & Technology
Edition:   2nd edition
ISBN:  

9780128141205


Pages:   1024
Publication Date:   08 August 2022
Format:   Paperback
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Our Price $290.40 Quantity:  
Add to Cart

Share |

Multicore and GPU Programming: An Integrated Approach


Add your own review!

Overview

Full Product Details

Author:   Gerassimos Barlas (Professor, Computer Science and Engineering Department, American University of Sharjah, UAE)
Publisher:   Elsevier Science & Technology
Imprint:   Morgan Kaufmann Publishers In
Edition:   2nd edition
Weight:   1.520kg
ISBN:  

9780128141205


ISBN 10:   0128141204
Pages:   1024
Publication Date:   08 August 2022
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Part A: Introduction 1. Introduction 2. Multicore and Parallel Program Design Part B: Programming with Threads and Processes 3. Shared-memory Programming: Threads 4. Concurrent Data Structures 5. Distributed Memory Programming MPI 6. GPU Programming: CUDA 7. GPU Programming: OpenCL Part C: Higher-level Programming 8. Shared-memory Programming: OpenMP 9. GPU Programming: OpenACC 10. The Thrust Template Library Part D: Advanced Topics 11. Load Balancing

Reviews

Author Information

Gerassimos Barlas is a Professor with the Computer Science & Engineering Department, American University of Sharjah, Sharjah, UAE. His research interest includes parallel algorithms, development, analysis and modeling frameworks for load balancing, and distributed Video on-Demand. Prof. Barlas has taught parallel computing for more than 12 years, has been involved with parallel computing since the early 90s, and is active in the emerging field of Divisible Load Theory for parallel and distributed systems.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
 Shopping cart
Mailing List

 

Sign up now