High-Performance Computing on Complex Environments
eBook - ePub

High-Performance Computing on Complex Environments

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

High-Performance Computing on Complex Environments

About this book

With recent changes in multicore and general-purpose computing on graphics processing units, the way parallel computers are used and programmed has drastically changed. It is important to provide a comprehensive study on how to use such machines written by specialists of the domain. The book provides recent research results in high-performance computing on complex environments, information on how to efficiently exploit heterogeneous and hierarchical architectures and distributed systems, detailed studies on the impact of applying heterogeneous computing practices to real problems, and applications varying from remote sensing to tomography. The content spans topics such as Numerical Analysis for Heterogeneous and Multicore Systems; Optimization of Communication for High Performance Heterogeneous and Hierarchical Platforms; Efficient Exploitation of Heterogeneous Architectures, Hybrid CPU+GPU, and Distributed Systems; Energy Awareness in High-Performance Computing; and Applications of Heterogeneous High-Performance Computing. •Covers cutting-edge research in HPC on complex environments, following an international collaboration of members of the ComplexHPC •Explains how to efficiently exploit heterogeneous and hierarchical architectures and distributed systems •Twenty-three chapters and over 100 illustrations cover domains such as numerical analysis, communication and storage, applications, GPUs and accelerators, and energy efficiency

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Yes, you can access High-Performance Computing on Complex Environments by Emmanuel Jeannot, Julius Zilinskas, Emmanuel Jeannot,Julius Zilinskas in PDF and/or ePUB format, as well as other popular books in Computer Science & Parallel Programming. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series
  3. Title Page
  4. Copyright
  5. Dedication
  6. Contributors
  7. Preface
  8. Part I: Introduction
  9. Part II: Numerical Analysis for Heterogeneous and Multicore Systems
  10. Part III: Communication and Storage Considerations in High-Performance Computing
  11. Part IV: Efficient Exploitation of Heterogeneous Architectures
  12. Part V: CPU + GPU Coprocessing
  13. Part VI: Efficient Exploitation of Distributed Systems
  14. Part VII: Energy Awareness in High-Performance Computing
  15. Part VIII: Applications of Heterogeneous High-Performance Computing
  16. Index
  17. Series
  18. End User License Agreement