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246976
Introduction to High Performance Computing for Scientists and Engineers (Computational Science)
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Item #:
246976
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Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC.
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What Stands Out
Expert Authorship
Written by leading experts in computational science, providing unparalleled insights tailored for scientists and engineers seeking to enhance their high-performance computing skills.
Comprehensive Coverage
Covers essential high-performance computing concepts, techniques, and tools, equipping readers with practical knowledge for solving complex computational problems effectively.
Real-World Applications
Includes case studies and applications relevant to scientific and engineering fields, ensuring that learners can apply concepts to real-world challenges and projects.
Product Details
| Publisher | CRC Press |
| Publication date | August 17, 2010 |
| Edition | 1st |
| Language | English |
| Print length | 330 pages |
| ISBN-10 | 143981192X |
| ISBN-13 | 978-1439811924 |
| Item Weight | 1.15 pounds (520 grams) |
| Dimensions | 6.14 x 0.82 x 9.21 inches (15.6 x 2.1 x 23.4 cm) |
| Part of series | Chapman & Hall/CRC Computational Science |
Who Should Buy?
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Aspiring Researchers
Ideal for early-career researchers needing foundational knowledge in high-performance computing for scientific research applications.
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University Students
Beneficial for undergraduate and graduate students studying computational science or related fields seeking practical HPC insights.
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Industry Professionals
Useful for engineers and scientists in industry looking to enhance their skills in high-performance computing applications.
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Complete Beginners
Not suitable for individuals with no prior experience in computing or programming, as it assumes some knowledge.
Product Description
Introduction to High Performance Computing for Scientists and Engineers (Computational Science)
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Customer Questions & Answers
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Question:
What is the main focus of 'Introduction to High Performance Computing for Scientists and Engineers'?
Answer: The book primarily emphasizes the principles and practices of high-performance computing (HPC) tailored for scientists and engineers. It covers key topics including parallel programming, performance metrics, and advanced computing architectures, enabling readers to effectively leverage HPC for complex simulations and data analysis. This foundational text is particularly beneficial for researchers looking to solve scientific problems with computational resources, making it a valuable asset in various scientific domains. -
Question:
Who is the target audience for this book?
Answer: The primary audience for this book includes undergraduate and graduate students in scientific and engineering disciplines, as well as professionals engaged in high-performance computing. It serves as an insightful resource for anyone interested in enhancing their computational skills and employing HPC effectively within their research or industry projects. The practical focus makes it suitable for both academic and real-world applications, ensuring readers can bridge theory with practice. -
Question:
How does the book approach parallel programming?
Answer: The book provides a comprehensive introduction to parallel programming, discussing various programming models and languages used in HPC. It explains concepts such as message passing and shared memory systems, facilitating a robust understanding of how to write efficient parallel code. This knowledge is essential for scientists and engineers who need to optimize their computational tasks for performance, particularly in projects that involve large datasets or complex simulations. -
Question:
What practical skills can readers expect to gain?
Answer: Readers can expect to acquire practical skills in utilizing high-performance computing resources, optimizing algorithms, and conducting effective simulations. The book includes case studies and examples that illustrate how to apply HPC techniques to real-world scientific problems, thereby equipping readers with actionable knowledge. This skill set can significantly enhance research productivity and the ability to tackle computational challenges in various fields such as physics, biology, and engineering. -
Question:
Does the book cover modern computing architectures?
Answer: Yes, the book extensively covers modern computing architectures, including clusters, supercomputers, and cloud computing platforms. By understanding these architectures, readers can better choose the appropriate computational resources for their specific applications. This insight is critical for effectively managing and utilizing HPC platforms, especially as technology continues to evolve and diversify within scientific computing environments. -
Question:
What are some applications of high-performance computing discussed in the book?
Answer: The book discusses a range of applications, including numerical simulations, data analysis, and modeling in various scientific fields. Examples may encompass fluid dynamics simulations, climate modeling, or molecular dynamics studies. These applications highlight the transformative potential of HPC in accelerating research and discovery, making it crucial for scientists and engineers who aim to leverage computing power in innovative ways. -
Question:
Is there any prior knowledge required to read this book?
Answer: While a basic understanding of programming and computational concepts is beneficial, the book is designed to be accessible to those new to high-performance computing. It introduces foundational concepts and gradually builds up to more advanced topics, making it suitable for readers with varying levels of experience. This inclusive approach allows a wide audience to engage with and benefit from the material, regardless of their initial knowledge. -
Question:
How is the book structured to facilitate learning?
Answer: The book is structured systematically, beginning with fundamental concepts and progressively advancing to more complex topics. Each chapter includes examples, exercises, and summaries to reinforce learning outcomes. This thoughtful organization enables readers to gently build their understanding while actively engaging with the content, making it easier to grasp challenging concepts and apply them in practical scenarios. -
Question:
Are there any complementary resources available for this book?
Answer: Yes, there are complementary resources such as online lecture materials, exercise solutions, and community forums that enhance the learning experience. These resources often provide additional examples and discussions that can deepen understanding and engagement with high-performance computing concepts. Utilizing these materials can be instrumental for both individual learners and educators aiming to implement academics in real-world contexts. -
Question:
Where can I buy 'Introduction to High Performance Computing for Scientists and Engineers' in Kenya?
Answer: You can purchase 'Introduction to High Performance Computing for Scientists and Engineers' through Ubuy, a trusted online platform offering extensive access to books and academic resources. Ubuy provides a user-friendly shopping experience and reliable service, making it your ideal choice for acquiring this essential text in Kenya. Simply visit their website, search for the book title, and explore their purchase options.
Performance Optimization Editorial Review
The book 'Introduction to High Performance Computing for Scientists and Engineers' is an informative introduction book for those who want to understand the fundamentals of High-Performance Computing (HPC). The book covers several relevant aspects of HPC, including hardware, algorithm design, and parallel processing. The authors emphasize the importance of maximizing performance of serial programs before applying parallelization strategies, and each chapter has a set of questions that extend the concepts covered therein. The book provides a good overview of optimizing code for memory management and discusses the importance of a compiler in executing programs on the CPU. However, some reviewers found the book to be written in a dense style that uses a lot of jargon, making it difficult to follow. Others felt that the organization of the book could be improved, with some topics being spread across several chapters. The book primarily uses FORTRAN for most of the code examples, which some readers found unfortunate. However, it contains C++ code scattered here and there, which contains more problems than the FORTRAN code. In summary, 'Introduction to High Performance Computing for Scientists and Engineers' is a worthwhile read for anyone interested in the fundamentals of HPC. It is suitable for self-study and provides an overall understanding of HPC hardware, algorithms, and parallel processing. However, the writing style and organization, as well as the choice of language for code examples, may make it difficult for some readers to follow. **
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Pros
- Good overview of HPC fundamentals
- Emphasis on maximizing performance before applying parallelization
- Set of questions at the end of each chapter
- Covers relevant aspects of HPC
Cons
- Written in a dense style with a lot of jargon
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Features & Benefits
- Solid introduction to mainstream computer architecture
- Covers optimization strategies and parallel programming models
- Examines typical performance problems and how to avoid them
- Prepares readers for studying advanced literature
- Facilitates an intuitive understanding of performance limitations
- Written by experts in the field
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