
High-Performance Computing
Applications and Frontiers
- 1st Edition - April 1, 2026
- Author: Oscar Diez
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 5 1 3 4 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 5 1 3 5 - 5
The exponential growth in computational needs across industries has created a demand for a modern guide that consolidates both theoretical and hands-on knowledge of high… Read more
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The exponential growth in computational needs across industries has created a demand for a modern guide that consolidates both theoretical and hands-on knowledge of high performance computing (HPC). High-Performance Computing: Applications and Frontiers offers a comprehensive and up-to-date reference to HPC. Sitting alongside the companion text, Foundations of High Performance Computing, High-Performance Computing: Applications and Frontiers builds on the fundamental knowledge to examine specialized tools, emerging trends including parallel and distributed computing, GPU programming, cloud-based HPC, and quantum computing, that define HPC's role in cutting-edge research and industry applications. The volume is tailored for advanced students, researchers, and professionals ready to explore advanced HPC programming, optimization, and applications, and features topics such as domain-specific implementations, machine learning, and the future of HPC. High-Performance Computing: Applications and Frontiers covers essential modern topics such as containerization, AI-driven HPC, hybrid/multi-cloud HPC strategies, or advancements in GPU and quantum computing. Readers will find High-Performance Computing: Applications and Frontiers is a current, versatile reference that blends theoretical principles with practical examples, preparing them to navigate both traditional and emerging HPC challenges effectively.
- Offers comprehensive coverage of modern HPC topics, including hybrid cloud HPC, quantum computing, and GPU optimization
- Provides hands-on examples, exercises, and access to code repositories to solidify practical understanding
- Sits alongside the companion, Foundations of High Performance Computing, 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 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
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
- Edition: 1
- 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