Foundations of High-Performance Computing: A Comprehensive Guide to Systems, Concepts, and Programming
Autor Oscar Diezen Limba Engleză Paperback – 22 apr 2026
Other sections focuses on OpenMP for multithreading, MPI programming, GPU computing, OpenACC, and CUDA, and parallel I/O, data management, filesystems, cloud based HPC, and virtualization. The book concludes with a reference and glossary, equipping the reader with a thorough grounding in the basics of HPC and providing a comprehensive, multidisciplinary guide on the principles and concepts that underpin high performance computing. It is designed for graduate students, early-career professionals, and researchers seeking to build a solid foundation in HPC.
- Offers comprehensive coverage of modern high performance computing topics, including hybrid cloud HPC, quantum computing, and GPU optimization
- Focuses on infrastructure, programming basics, and practical access to HPC systems
- Provides hands-on examples, exercises, and access to code repositories to solidify practical understanding
- Sits alongside its companion book, High-Performance Computing: Applications and Frontiers, to develop the reader's understanding and skills from introduction to advance level
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Specificații
ISBN-13: 9780443455742
ISBN-10: 0443455740
Pagini: 752
Dimensiuni: 216 x 276 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443455740
Pagini: 752
Dimensiuni: 216 x 276 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Cuprins
Part One: Introduction to High Performance Computing
1. Introduction
2. Evolution and Fundamentals of High Performance Computing
3. Architectural Overview of HPC Systems
Part Two: High Performance Computing Programming Basics
4. Resource Management and Performance Metrics in Parallel Systems
5. Practical Access to High Performance Computing
6. Distributed and Shared Memory Concepts
Part Three: Foundations of Parallel Programming
7. OpenMP for Multithreading
8. Deep Dive into MPI Programming
9. Introduction to GPU Computing, OpenACC, and CUDA Basics
Part Four: Practical High Performance Computing Infrastructure
10. Parallel I/O, Data Management and Filesystems
11. Cloud-Based High Performance Computing and Virtualization
Part Five: Conclusion and Reference Material
12. Glossary
13. References
1. Introduction
2. Evolution and Fundamentals of High Performance Computing
3. Architectural Overview of HPC Systems
Part Two: High Performance Computing Programming Basics
4. Resource Management and Performance Metrics in Parallel Systems
5. Practical Access to High Performance Computing
6. Distributed and Shared Memory Concepts
Part Three: Foundations of Parallel Programming
7. OpenMP for Multithreading
8. Deep Dive into MPI Programming
9. Introduction to GPU Computing, OpenACC, and CUDA Basics
Part Four: Practical High Performance Computing Infrastructure
10. Parallel I/O, Data Management and Filesystems
11. Cloud-Based High Performance Computing and Virtualization
Part Five: Conclusion and Reference Material
12. Glossary
13. References