High-Performance Computing: Applications and Frontiers
Autor Oscar Diezen Limba Engleză Paperback – iul 2026
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.
- 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 it companion book, Foundations of High Performance Computing, to develop the reader's understanding and skills from introduction to advance level
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Specificații
ISBN-13: 9780443451348
ISBN-10: 0443451346
Pagini: 550
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443451346
Pagini: 550
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Cuprins
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