Happy Holidays—Our $30 Gift Card just for you, and books ship free! Shop now>>

cover

Advanced Memory Optimization Techniques for Low-Power Embedded Processors

Authors: Verma, Manish, Marwedel, Peter

  • The complete application, including data variables and code segments, is optimized
  • Comprehensive architecture-level exploration for real-life applications
  • Demonstration of architecture-aware compilation techniques
see more benefits

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-1-4020-5897-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-1-4020-5896-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for USA in USD
  • ISBN 978-90-481-7471-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The design of embedded systems warrants a new perspective because of the following two reasons: Firstly, slow and energy inefficient memory hierarchies have already become the bottleneck of the embedded systems. It is documented in the literature as the memory wall problem. Secondly, the software running on the contemporary embedded devices is becoming increasingly complex. It is also well understood that no silver bullet exists to solve the memory wall problem. Therefore, this book explores a collaborative approach by proposing novel memory hierarchies and software optimization techniques for the optimal utilization of these memory hierarchies. Linking memory architecture design with memory-architecture aware compilation results in fast, energy-efficient and timing predictable memory accesses.

The evaluation of the optimization techniques using real-life benchmarks for a single processor system, a multiprocessor system-on-chip (SoC) and for a digital signal processor system, reports significant reductions in the energy consumption and performance improvement of these systems. The book presents a wide range of optimizations, progressively increasing in the complexity of analysis and of memory hierarchies. The final chapter covers optimization techniques for applications consisting of multiple processes found in most modern embedded devices.

Advanced Memory Optimization Techniques for Low Power Embedded Processors is designed for researchers, complier writers and embedded system designers / architects who wish to optimize the energy and performance characteristics of the memory subsystem.

About the authors

Prof. Peter Marwedel has published numerous books with Springer

Table of contents (9 chapters)

Table of contents (9 chapters)
  • Introduction

    Pages 1-7

  • Related Work

    Pages 9-15

  • Memory Aware Compilation and Simulation Framework

    Pages 17-30

  • Non-Overlayed Scratchpad Allocation Approaches for Main/Scratchpad Memory Hierarchy

    Pages 31-47

  • Non-Overlayed Scratchpad Allocation Approaches for Main/Scratchpad + Cache Memory Hierarchy

    Pages 49-82

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-1-4020-5897-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-1-4020-5896-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for USA in USD
  • ISBN 978-90-481-7471-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Advanced Memory Optimization Techniques for Low-Power Embedded Processors
Authors
Copyright
2007
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-1-4020-5897-4
DOI
10.1007/978-1-4020-5897-4
Hardcover ISBN
978-1-4020-5896-7
Softcover ISBN
978-90-481-7471-3
Edition Number
1
Number of Pages
XII, 188
Topics