Energy-Aware Memory Management for Embedded Multimedia Systems: A Computer-Aided Design Approach, 1st Edition (Paperback) book cover

Energy-Aware Memory Management for Embedded Multimedia Systems

A Computer-Aided Design Approach, 1st Edition

Edited by Florin Balasa, Dhiraj K. Pradhan

Chapman and Hall/CRC

359 pages | 133 B/W Illus.

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Description

Energy-Aware Memory Management for Embedded Multimedia Systems: A Computer-Aided Design Approach presents recent computer-aided design (CAD) ideas that address memory management tasks, particularly the optimization of energy consumption in the memory subsystem. It explains how to efficiently implement CAD solutions, including theoretical methods and novel algorithms.

The book covers various energy-aware design techniques, including data-dependence analysis techniques, memory size estimation methods, extensions of mapping approaches, and memory banking approaches. It shows how these techniques are used to evaluate the data storage of an application, reduce dynamic and static energy consumption, design energy-efficient address generation units, and much more.

Providing an algebraic framework for memory management tasks, this book illustrates how to optimize energy consumption in memory subsystems using CAD solutions. The algorithmic style of the text should help electronic design automation (EDA) researchers and tool developers create prototype software tools for system-level exploration, with the goal to ultimately obtain an optimized architectural solution of the memory subsystem.

Table of Contents

Computer-Aided Design for the Energy Optimization in the Memory Architecture of Embedded Systems, Florin Balasa and Dhiraj K. Pradhan

Introduction

Low-Power Design for Embedded Systems

The Role of On-Chip Memories

Optimization of the Energy Consumption of the Memory Subsystem

The Goal and Organization of the Book

The Power of Polyhedra, Doran K. Wilde

Introduction

Polyhedra

Representation of Polyhedra in a Computer

Description of Operations

Loop Nest Synthesis Using Polyhedral Operations

Localizing Affine Dependences

Computation of Data Storage Requirements for Affine Algorithmic Specifications, Florin Balasa, Hongwei Zhu, and Ilie I. Luican

Introduction

The Memory Size Computation Problem: A Brief Overview

Computation of the Minimum Data Storage for Affine Specifications

Operations with Linearly Bounded Lattices

Computation of the Minimum Data Storage

Experimental Results

Conclusions

Polyhedral Techniques for Parametric Memory Requirement Estimation, Philippe Clauss, Diego Garbervetsky, Vincent Loechner, and Sven Verdoolaege

Introduction

The Polyhedral Model of Loop Nests

Counting the Elements in a Polyhedral Set

Memory Requirement Estimates Based on Maximization Problems

Conclusion

Storage Allocation for Streaming-Based Register File, Praveen Raghavan and Francky Catthoor

Stream Register File: Why and How

Model for Compilation on Stream Register File

SARA: StreAm-Register-Allocation-Based Compilation

Conclusion

Optimization of the Dynamic Energy Consumption and Signal Mapping in Hierarchical Memory Organizations, Florin Balasa, Ilie I. Luican, Hongwei Zhu, and Doru V. Nasui

Introduction

Energy-Aware Signal Assignment to the Memory Layers

Signal-to-Memory Mapping Techniques

The Signal-to-Memory Mapping Model

Experimental Results

Conclusions

Leakage Current Mechanisms and Estimation in Memories and Logic, Ashoka Sathanur, Praveen Raghavan, Stefan Cosemans, and Wim Dahaene

Introduction

Leakage Current Mechanisms

Power Breakdown in SoCs

Leakage Current Modeling and Estimation

Leakage Control in SoCs, Praveen Raghavan, Ashoka Sathanur, Stefan Cosemans, and Wim Dahaene

Leakage Power Reduction Techniques

Leakage Power Reduction Techniques Applied to SRAM Memories

Leakage Power Reduction Using Low Power EDA Flows

Compiler-Driven Leakage Power Reduction

Energy-Efficient Memory Port Assignment, Preeti Ranjan Panda and Lakshmikantam Chitturi

Introduction

Background

Illustrative Examples

Memory Energy-Aware Synthesis

Experiments

Conclusion

Energy-Efficient Address-Generation Units and Their Design Methodology, Ittetsu Taniguchi, Guillermo Talavera, and Francky Catthoor

Introduction

Motivation behind Exploration of AGUs

Reconfigurable AGU: What Do We Execute the Calculations on?

Architecture Exploration Problem: What Is the Optimal Solution?

AGU Mapping Framework: How Is the Address Calculation Mapped on the AGU Model?

AGU Exploration Framework: How Are Pareto Solutions Obtained from the Solution Space?

Experimental Results

Conclusion and Future Work

Exercises

Index

References appear at the end of each chapter.

About the Editors

Florin Balasa is an associate professor in the Department of Computer Science and Engineering at the American University in Cairo. A senior member of IEEE, Dr. Balasa holds two patents and is an associate editor of the International Journal of Computers and Electrical Engineering. He has also been a recipient of a National Science Foundation CAREER Award. His research focuses on algorithms and software systems for VLSI design automation.

Dhiraj K. Pradhan is a chair and professor in the Department of Computer Science at the University of Bristol. A fellow of ACM, IEEE, and the Japan Society of Promotion of Science, Dr. Pradhan holds two patents and has been a recipient of the Humboldt Prize and Fulbright-Flad Chair in Computer Science. For more than thirty years, his research has focused on VLSI computer-aided design and testing as well as fault-tolerant computing, computer architecture, and parallel processing.

About the Series

Chapman & Hall/CRC Computer and Information Science Series

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Subject Categories

BISAC Subject Codes/Headings:
COM011000
COMPUTERS / Systems Architecture / General
COM051300
COMPUTERS / Programming / Algorithms
COM059000
COMPUTERS / Computer Engineering
TEC008010
TECHNOLOGY & ENGINEERING / Electronics / Circuits / General