
Foundations of High-Performance Computing
A Comprehensive Guide to Systems, Concepts, and Programming
- 1st Edition - April 1, 2026
- Latest edition
- Author: Oscar Diez
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 5 5 7 4 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 5 5 7 5 - 9
Foundations of High Performance Computing offers a comprehensive and up-to-date reference to high-performance computing (HPC). Laying the ground work for the companion text, High-P… Read more
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Foundations of High Performance Computing offers a comprehensive and up-to-date reference to high-performance computing (HPC). Laying the ground work for the companion text, High-Performance Computing: Applications and Frontiers, Foundations of High Performance Computing serves as a comprehensive introduction to the fundamental concepts, systems, and introductory programming techniques required for high performance computing. It is designed for graduate students, early-career professionals, and researchers seeking to build a solid foundation in HPC. This volume focuses on infrastructure, programming basics, and practical access to HPC systems. Foundations of High Performance Computing utilises a five-part structure to guide the reader through the concepts and applications of high performance computing. The first part introduces HPC, covering the evolution of HPC and offering an architectural overview of HPC systems. Part Two looks at the basics of HPC programming, beginning with resource management and performance metrics in parallel systems, discussing practical access to HPC, and considering the concepts behind distributed and shared memory. Part Three, Foundations of Parallel Computing, focuses on OpenMP for multithreading, MPI programming, GPU computing, OpenACC, and CUDA. In Part Four, the author concentrates on parallel I/O, data management, filesystems, cloud based HPC and virtualization. The book concludes with a reference and glossary. Foundations of High Performance Computing equips the reader with a thorough grounding in the basics of HPC, providing a comprehensive, multidisciplinary guide to the principles, and concepts that underpin high performance computing.
- 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 the companion, High-Performance Computing: Applications and Frontiers, to develop the reader's understanding and skills from introduction to advance level
graduate students and undergraduates in computer science and engineering disciplines. Researchers in academia and industry focusing on high performance computing applications, optimization, and next-generation computing technologies
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
- Edition: 1
- Latest edition
- Published: April 1, 2026
- Language: English
OD
Oscar Diez
Oscar Diez has a dual role as a professor and researcher, combining academic expertise in teaching HPC courses at IE University with applied research experience at the European Commission. With over a decade of experience, he has guided students and professionals through complex computational systems, emphasizing both theory and real-world applications.
Affiliations and expertise
IE University, Madrid, Spain