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In this book, David Barkai offers a unique and compelling account of this remarkable technological journey, drawing from his own rich experiences working at the forefront of high-performance computing.
In this book, David Barkai offers a unique and compelling account of this remarkable technological journey, drawing from his own rich experiences working at the forefront of high-performance computing.
David Barkai started his HPC career shortly after receiving a PhD in theoretical physics in the early '70s and was active in the field for over 40 years. A central theme of his work was the relationships between applications and architecture, with numerous publications over the years. David's employment at several HPC companies during their heydays - Control Data, Floating Point Systems, Cray Research, Supercomputing Systems Inc., Intel, and SGI - as well as a stint at NASA, offered him a front-row view of the evolving HPC scene over the last few decades.
Foreword
Preface
Acknowledgements
Short Introduction to Scientific Computing
Part I The Epoch of Big Iron
Chapter 1: In the Old Days...
Chapter 2: Vector Processes
Chapter 3: Vectorizing Applications
Chapter 4: Numerical Weather Prediction
Chapter 5: Vector Processors for Weather
Part II The Epoch of Multiprocessors
Chapter 6: Macro Parallelism
Chapter 7: Making Use of Multi-Processors
Chapter 8: Attached Processors, Microprocessors, and Mini-Supers
Chapter 9: Studying the Standard Model
Chapter 10: HPC for the Automotive Design - Early Days
Chapter 11: End of an Era
Part III The Epoch of Microprocessors
Chapter 12: Towards Massive Parallelism
Chapter 13: Engineering with HPC
Chapter 14: HPC for the Aero Industry
Chapter 15: The WRF Story
Chapter 16: Planning Ahead
Part IV The Epoch of Clusters
Chapter 17: Standardization
Chapter 18: HPC at Intel
Chapter 19: High Productivity in HPC
Chapter 20: Weather Models' Impact on Our Lives
Chapter 21: Computational Life Sciences
Chapter 22: Genomics and Beyond
Part V The Epoch of Accelerators and Cloud
Chapter 23: Codesign
Chapter 24 The Changing Face of HPC
Chapter 25: HPC in the Cloud
Chapter 26: The NCAR Models
Chapter 27: Modelling the Earth System
Chapter 28: HPC, Cloud and AI for Engineering
Chapter 29: Two Scientific Anecdotes: LIGO, Fusion
Chapter 30: The COVID-19 Campaign
Part VI Wrap Up and Outlook
Chapter 31: P is for Performance
Chapter 32: Fortran: The Coarrays Story
Chapter 33: Fortran Today
Chapter 34: Thoughts from the Guardians of Fortran
Chapter 35: Measure of HPC Impact
Chapter 36: Looking Forward
Bibliography
Index
| Erscheinungsjahr: | 2023 |
|---|---|
| Fachbereich: | Grundlagen |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780367479619 |
| ISBN-10: | 0367479613 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Barkai, David |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 252 x 175 x 18 mm |
| Von/Mit: | David Barkai |
| Erscheinungsdatum: | 17.08.2023 |
| Gewicht: | 0,764 kg |
David Barkai started his HPC career shortly after receiving a PhD in theoretical physics in the early '70s and was active in the field for over 40 years. A central theme of his work was the relationships between applications and architecture, with numerous publications over the years. David's employment at several HPC companies during their heydays - Control Data, Floating Point Systems, Cray Research, Supercomputing Systems Inc., Intel, and SGI - as well as a stint at NASA, offered him a front-row view of the evolving HPC scene over the last few decades.
Foreword
Preface
Acknowledgements
Short Introduction to Scientific Computing
Part I The Epoch of Big Iron
Chapter 1: In the Old Days...
Chapter 2: Vector Processes
Chapter 3: Vectorizing Applications
Chapter 4: Numerical Weather Prediction
Chapter 5: Vector Processors for Weather
Part II The Epoch of Multiprocessors
Chapter 6: Macro Parallelism
Chapter 7: Making Use of Multi-Processors
Chapter 8: Attached Processors, Microprocessors, and Mini-Supers
Chapter 9: Studying the Standard Model
Chapter 10: HPC for the Automotive Design - Early Days
Chapter 11: End of an Era
Part III The Epoch of Microprocessors
Chapter 12: Towards Massive Parallelism
Chapter 13: Engineering with HPC
Chapter 14: HPC for the Aero Industry
Chapter 15: The WRF Story
Chapter 16: Planning Ahead
Part IV The Epoch of Clusters
Chapter 17: Standardization
Chapter 18: HPC at Intel
Chapter 19: High Productivity in HPC
Chapter 20: Weather Models' Impact on Our Lives
Chapter 21: Computational Life Sciences
Chapter 22: Genomics and Beyond
Part V The Epoch of Accelerators and Cloud
Chapter 23: Codesign
Chapter 24 The Changing Face of HPC
Chapter 25: HPC in the Cloud
Chapter 26: The NCAR Models
Chapter 27: Modelling the Earth System
Chapter 28: HPC, Cloud and AI for Engineering
Chapter 29: Two Scientific Anecdotes: LIGO, Fusion
Chapter 30: The COVID-19 Campaign
Part VI Wrap Up and Outlook
Chapter 31: P is for Performance
Chapter 32: Fortran: The Coarrays Story
Chapter 33: Fortran Today
Chapter 34: Thoughts from the Guardians of Fortran
Chapter 35: Measure of HPC Impact
Chapter 36: Looking Forward
Bibliography
Index
| Erscheinungsjahr: | 2023 |
|---|---|
| Fachbereich: | Grundlagen |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780367479619 |
| ISBN-10: | 0367479613 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Barkai, David |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 252 x 175 x 18 mm |
| Von/Mit: | David Barkai |
| Erscheinungsdatum: | 17.08.2023 |
| Gewicht: | 0,764 kg |
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