本の詳細
形式
ペーパーバック
ページ数
336
言語
英語
公開されました
Nov 7, 2023
出版社
The MIT Press
説明
In this insightful guide, readers are taken on a journey through the complexities of programming GPUs using OpenMP. The authors, Tom Deakin and Timothy G. Mattson, expertly dissect the principles of performance portability, ensuring that developers can optimize their code across various platforms without sacrificing efficiency.
The book provides a comprehensive overview of OpenMP, equipping programmers with the tools needed to write scalable parallel applications. By delving into real-world examples and practical strategies, it empowers readers to harness the full potential of their GPU architectures, making parallel computing more accessible.
With a focus on best practices and optimization techniques, the authors illuminate potential pitfalls and offer solutions that can enhance performance. This resource stands out as a valuable reference for both novice and experienced developers looking to master GPU programming with OpenMP.
The book provides a comprehensive overview of OpenMP, equipping programmers with the tools needed to write scalable parallel applications. By delving into real-world examples and practical strategies, it empowers readers to harness the full potential of their GPU architectures, making parallel computing more accessible.
With a focus on best practices and optimization techniques, the authors illuminate potential pitfalls and offer solutions that can enhance performance. This resource stands out as a valuable reference for both novice and experienced developers looking to master GPU programming with OpenMP.