Embedded Computing for High Performance
eBook - ePub

Embedded Computing for High Performance

Efficient Mapping of Computations Using Customization, Code Transformations and Compilation

  1. 320 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Embedded Computing for High Performance

Efficient Mapping of Computations Using Customization, Code Transformations and Compilation

About this book

Embedded Computing for High Performance: Design Exploration and Customization Using High-level Compilation and Synthesis Tools provides a set of real-life example implementations that migrate traditional desktop systems to embedded systems. Working with popular hardware, including Xilinx and ARM, the book offers a comprehensive description of techniques for mapping computations expressed in programming languages such as C or MATLAB to high-performance embedded architectures consisting of multiple CPUs, GPUs, and reconfigurable hardware (FPGAs). The authors demonstrate a domain-specific language (LARA) that facilitates retargeting to multiple computing systems using the same source code. In this way, users can decouple original application code from transformed code and enhance productivity and program portability. After reading this book, engineers will understand the processes, methodologies, and best practices needed for the development of applications for high-performance embedded computing systems. - Focuses on maximizing performance while managing energy consumption in embedded systems - Explains how to retarget code for heterogeneous systems with GPUs and FPGAs - Demonstrates a domain-specific language that facilitates migrating and retargeting existing applications to modern systems - Includes downloadable slides, tools, and tutorials

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Information

Publisher
Morgan Kaufmann
Year
2017
Print ISBN
9780128041895
eBook ISBN
9780128041994
Topic
Computer Science
Subtopic
Hardware
Index
Computer Science

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. About the Authors
  7. Preface
  8. Acknowledgments
  9. Abbreviations
  10. Chapter 1: Introduction
  11. Chapter 2: High-performance embedded computing
  12. Chapter 3: Controlling the design and development cycle
  13. Chapter 4: Source code analysis and instrumentation
  14. Chapter 5: Source code transformations and optimizations
  15. Chapter 6: Code retargeting for CPU-based platforms
  16. Chapter 7: Targeting heterogeneous computing platforms
  17. Chapter 8: Additional topics
  18. Glossary
  19. Index

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Yes, you can access Embedded Computing for High Performance by João Manuel Paiva Cardoso,José Gabriel de Figueiredo Coutinho,Pedro C. Diniz in PDF and/or ePUB format, as well as other popular books in Computer Science & Hardware. We have over one million books available in our catalogue for you to explore.