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A Practical Approach to High-Performance Computing
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The book combines visualization, comprehensibility, and strictness, steering readers towards practical applications and solutions for real computing problems.
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Product Details
- The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness in their material presentation, and thus influence the reader towards practical application and learning how to solve real computing problems. They address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying message-passing technologies in distributed systems. The book is suitable for undergraduate and graduate students, and for researchers and practitioners engaged with high-performance computing systems. Each chapter begins with a theoretical part, where the relevant terminology is introduced along with the basic theoretical results and methods of parallel programming, and concludes with a list of test questions and problems of varying difficulty. The authors include many solutions and hints, and often sample code.
| Publisher | Springer |
| Publication date | November 19, 2019 |
| Edition | 2019th |
| Language | English |
| Print length | 217 pages |
| ISBN-10 | 3030275574 |
| ISBN-13 | 978-3030275570 |
| Item Weight | 1.07 pounds (490 grams) |
| Dimensions | 6.14 x 0.56 x 9.21 inches (15.6 x 1.4 x 23.4 cm) |
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A Practical Approach to High-Performance Computing
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Features & Benefits
- Comprehensive coverage of high-performance computing fundamentals.
- Focuses on practical applications and problem-solving techniques.
- Covers multithreading and message-passing technologies.
- Suitable for undergraduate, graduate students, and professionals.
- Includes theoretical foundations, test questions, and solutions.
- Provides sample code to enhance understanding.
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