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Elsevier

High Performance Computing

Modern Systems and Practices

  • 2 Edición - 19 de septiembre de 2024
  • Última edición
  • Autores: Thomas Sterling, Maciej Brodowicz, Matthew Anderson
  • Idioma: Inglés

Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essen… Leer más

Descripción

Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products.

This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as machine learning and a new chapter on CUDA.

Puntos claves

  • Covers enabling technologies, system architectures and operating systems, parallel programming languages and algorithms, scientific visualization, correctness and performance debugging tools and methods, GPU accelerators, and big data problems
  • Provides numerous examples that explore the basics of supercomputing while also providing practical training in the real use of high-end computers
  • Helps users with informative and practical examples that build knowledge and skills through incremental steps
  • Features sidebars of background and context to present a live history and culture of this unique field

De interès para

Students enrolled in upper level parallel and high-performance computing courses in the US

Índice

1. Introduction

2. HPC Architecture

3. Commodity Clusters

4. Benchmarking

5. The Essential Moab

6. SMP

7. The Essential OpenMP

8. The Essential MPI

9. Parallel Algorithms

10. Libraries

11. Operating Systems

12. Scientific Visualization

13. Performance Monitoring

14. Debugging

15. Accelerators

16. Essential OpenACC

17. Mass Storage

18. File Systems

19. Map Reduce

20. Checkpointing

21. Beyond (Next Steps)
Appendices: Essential C Linux User Interface

Detalles del producto

  • Edición: 2
  • Última edición
  • Publicado: 9 de diciembre de 2024
  • Idioma: Inglés

Sobre los autores

TS

Thomas Sterling

Thomas Sterling is Professor of Informatics and Computing at Indiana University. He serves as the Executive Associate Director of the Center for Research in Extreme Scale Technologies (CREST) and as its Chief Scientist. He is most widely known for his pioneering work in commodity cluster computing as leader of the Beowulf Project for which he and colleagues were awarded the Gordon Bell Prize. Professor Sterling currently leads a team of researchers at IU to enable a new generation of extreme scale computing systems and applications. He is the co-author of six books and holds six patents. He has taught a graduate level course upon which this textbook will be heavily informed, five times.
Afiliaciones y experiencia
Indiana University Bloomington, USA

MB

Maciej Brodowicz

Maciej Brodowicz is Advanced Parallel Computing Engineer at the Center for Research in Extreme Scale Technologies (CREST) at Indiana University.
Afiliaciones y experiencia
Indiana University Bloomington, USA

MA

Matthew Anderson

Matthew Anderson works in the Department of English at the University of New England, Maine, USA.
Afiliaciones y experiencia
Department of English, University of New England, Maine, USA

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