Designing Scientific Applications on GPUs

Raphael Couturier

ISBN 10: 1032919264 / ISBN 13: 9781032919263

Published by Taylor & Francis, 2024

About this Item

Designing Scientific Applications on GPUs | Raphael Couturier | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Taylor & Francis | EAN 9781032919263 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.

Seller Inventory # 129951246

Bibliographic Details

• Title: Designing Scientific Applications on GPUs
• Publisher: Taylor & Francis
• Publication Date: 2024
• Language: English
• ISBN 10: 1032919264
• ISBN 13: 9781032919263
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 26W x 156H x 234D millimeters 26 millimeters width by 156 millimeters height by 234 millimeters depth
• Weight: 453 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Many of today’s complex scientific applications now require a vast amount of computational power. General purpose graphics processing units (GPGPUs) enable researchers in a variety of fields to benefit from the computational power of all the cores available inside graphics cards.

Understand the Benefits of Using GPUs for Many Scientific Applications

Designing Scientific Applications on GPUs shows you how to use GPUs for applications in diverse scientific fields, from physics and mathematics to computer science. The book explains the methods necessary for designing or porting your scientific application on GPUs. It will improve your knowledge about image processing, numerical applications, methodology to design efficient applications, optimization methods, and much more.

Everything You Need to Design/Port Your Scientific Application on GPUs

The first part of the book introduces the GPUs and Nvidia’s CUDA programming model, currently the most widespread environment for designing GPU applications. The second part focuses on significant image processing applications on GPUs. The third part presents general methodologies for software development on GPUs and the fourth part describes the use of GPUs for addressing several optimization problems. The fifth part covers many numerical applications, including obstacle problems, fluid simulation, and atomic physics models. The last part illustrates agent-based simulations, pseudorandom number generation, and the solution of large sparse linear systems for integer factorization. Some of the codes presented in the book are available online.

About the Author

Raphaël Couturier is a professor of computer science at the University of Franche-Comte and vice head of the Computer Science Department at FEMTO-ST Institute. He has co-authored over 80 articles in peer-reviewed journals and conferences. He received a Ph.D. from Henri Poincaré University. His research interests include parallel and distributed computation, numerical algorithms, GPU and FPGA computing, and asynchronous iterative algorithms.