High-Performance Computing

Applications and Frontiers
Erscheinungsjahr 2026
ISBN: 978-0-443-45134-8
Verlag: Elsevier Science

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

High-Performance Computing: Applications and Frontiers serves as an essential, up-to-date guide for those seeking to master the rapidly evolving field of HPC. Building on foundational concepts, this volume delves into specialized tools and emerging technologies shaping modern research and industry, such as parallel and distributed systems, GPU programming, quantum computing, and cloud-based solutions. Designed for advanced students, researchers, and professionals, it prepares readers to tackle real-world challenges by combining theoretical insights with practical expertise, offering a clear roadmap for navigating both established and cutting-edge HPC landscapes.

The book further distinguishes itself by exploring domain-specific applications, machine learning, and the future trajectory of high-performance computing. Key topics include containerization, AI-powered HPC, hybrid and multi-cloud strategies, as well as recent advancements in GPU and quantum technologies. With its blend of theory and hands-on examples, this book is a versatile reference that meets the growing demand for a comprehensive resource in today's data-driven world.

Autoren/Hrsg.

Diez, Oscar

Fachgebiete

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

Inhaltsverzeichnis

Part One: Introduction to Advanced High Performance Computing
1. Introduction to Advanced High Performance Computing
2. HPC in Health & Neurosciences
3. Computational Fluid Dynamics, MPI & OpenMP Code Integration
4. Optimizing Code for HPC Architectures
5. Advanced MPI Techniques

Part Two: Advanced Tools and Libraries
6. Profiling, Debugging, and Performance Analysis Tools
7. Using High-Performance Libraries

Part Three: Applications and Emerging Trends
8. Molecular Systems & Material Sciences
9. Climate and Terrestrial Systems Modeling
10. HPC in Finance and Economics

Part Four: Machine Learning and Big Data
11. Fundamentals of Distributed Machine Learning
12. Deep Learning at Scale
13. Exploring Patterns in Hybrid Computing

Part Five: Future of High Performance Computing
14. The Emergence of Neuromorphic Computing
15. Quantum Computing Fundamentals and Applications
16. Advanced Computing Toward the Post-Exascale Era
17. Digital Twins in HPC
18. Reflections and Future Horizons in HPC

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.