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- Published Year: 2003
- Page count: 852
- File Size: 6 MB
- Language: English
- Published by: Morgan Kaufmann Publishers
- Visited by: 210
- Rating/Review: 4.5
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ISBN:
1558608710
9781558608719
9780585461625
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Sourcebook of parallel computing
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Introduction to the Sourcebook of Parallel Computing
The "Sourcebook of Parallel Computing" serves as a comprehensive guide to the principles, techniques, and technologies that define parallel computing. Authored by leading experts Jack Dongarra, Ian Foster, Geoffrey C. Fox, William Gropp, Ken Kennedy, Linda Torczon, and Andy White, this book is an indispensable resource for anyone interested in the field of high-performance computing.
Detailed Summary
The "Sourcebook of Parallel Computing" presents a systematic exploration of the fundamentals and advanced concepts in parallel computing. The authors provide an in-depth analysis of the architecture, performance, and programming aspects of parallel systems. This book is structured to cater to the needs of a diverse audience, ranging from beginners who need an introduction to seasoned practitioners seeking advanced knowledge.
The content embraces a variety of topics including the basics of parallel architectures, paradigms of parallel programming, and performance analysis techniques. The authors' extensive expertise is evident in their vivid explanation of cutting-edge technologies and methodologies, making complex concepts accessible and understandable.
Throughout the book, readers are guided through a variety of parallel computing environments and models. The use of real-world applications and case studies helps to underscore the practical utility of the theoretical constructs discussed. This ensures that readers not only learn the principles but also understand how to apply them in real-world scenarios.
Key Takeaways
- Comprehensive coverage of parallel computing principles and systems.
- In-depth analysis of parallel programming models and architectures.
- Insightful exploration of performance metrics and optimization techniques.
- Real-world applications and case studies that demonstrate practical applications.
- Expert insights from leading authorities in the field of high-performance computing.
Famous Quotes from the Book
"Parallel computing represents both a technological leap and a revolution in how problems in science, engineering, and industry are solved."
"The key to optimization in parallel systems lies not just in algorithmic efficiency, but also in understanding the underlying architecture."
Why This Book Matters
As our world becomes increasingly reliant on computational power, the significance of parallel computing grows exponentially. The "Sourcebook of Parallel Computing" is not just a textbook; it is a foundational pillar for understanding the architecture and functionality of modern computing systems.
This book equips readers with the knowledge to harness the power of parallel computing, essential for developing solutions in a variety of fields, from scientific research to industrial applications. It empowers readers to engage with the future of computing, which promises unprecedented levels of performance and efficiency.
The conjunction of theoretical insights and practical examples makes this sourcebook a vital asset for students, educators, researchers, and professionals who are striving to stay at the forefront of technological advancement.
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