Foundations of High-Performance Computing

A Comprehensive Guide to Systems, Concepts, and Programming
Erscheinungsjahr 2026
ISBN: 978-0-443-45574-2
Verlag: Elsevier Science

Buch, Englisch, 550 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

Foundations of High Performance Computing: A Comprehensive Guide to Systems, Concepts, and Programming offers a comprehensive reference on high-performance computing (HPC). Laying the groundwork for the companion text, High-Performance Computing: Applications and Frontiers, this book serves as a comprehensive introduction to the fundamental concepts, systems, and introductory programming techniques. It focuses on infrastructure, programming basics, and practical access to HPC systems, covering the evolution of HPC and offering an architectural overview of HPC systems. In addition, it explores resource management and performance metrics in parallel systems, discussing practical access to HPC and considering the concepts behind distributed and shared memory.

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.

Autoren/Hrsg.

Diez, Oscar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Betriebssysteme
• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

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

Über Autor(innen)

Diez, Oscar
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.