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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.
This book provides a guide to Static Random Access Memory (SRAM)
bitcell design and analysis to meet the nano-regime challenges for
CMOS devices and emerging devices, such as Tunnel FETs. Since
process variability is an ongoing challenge in large memory arrays,
this book highlights the most popular SRAM bitcell topologies
(benchmark circuits) that mitigate variability, along with
exhaustive analysis. Experimental simulation setups are also
included, which cover nano-regime challenges such as process
variation, leakage and NBTI for SRAM design and analysis. Emphasis
is placed throughout the book on the various trade-offs for
achieving a best SRAM bitcell design. Provides a complete and
concise introduction to SRAM bitcell design and analysis; Offers
techniques to face nano-regime challenges such as process
variation, leakage and NBTI for SRAM design and analysis; Includes
simulation set-ups for extracting different design metrics for CMOS
technology and emerging devices; Emphasizes different trade-offs
for achieving the best possible SRAM bitcell design.
This book provides a guide to Static Random Access Memory (SRAM)
bitcell design and analysis to meet the nano-regime challenges for
CMOS devices and emerging devices, such as Tunnel FETs. Since
process variability is an ongoing challenge in large memory arrays,
this book highlights the most popular SRAM bitcell topologies
(benchmark circuits) that mitigate variability, along with
exhaustive analysis. Experimental simulation setups are also
included, which cover nano-regime challenges such as process
variation, leakage and NBTI for SRAM design and analysis. Emphasis
is placed throughout the book on the various trade-offs for
achieving a best SRAM bitcell design.Provides a complete and
concise introduction to SRAM bitcell design and analysis; Offers
techniques to face nano-regime challenges such as process
variation, leakage and NBTI for SRAM design and analysis;Includes
simulation set-ups for extracting different design metrics for CMOS
technology and emerging devices;Emphasizes different trade-offs for
achieving the best possible SRAM bitcell design.
This book describes the state-of-the-art in energy efficient,
fault-tolerant embedded systems. It covers the entire product
lifecycle of electronic systems design, analysis and testing and
includes discussion of both circuit and system-level approaches.
Readers will be enabled to meet the conflicting design objectives
of energy efficiency and fault-tolerance for reliability, given the
up-to-date techniques presented.
This book describes the state-of-the-art in energy efficient,
fault-tolerant embedded systems. It covers the entire product
lifecycle of electronic systems design, analysis and testing and
includes discussion of both circuit and system-level approaches.
Readers will be enabled to meet the conflicting design objectives
of energy efficiency and fault-tolerance for reliability, given the
up-to-date techniques presented.
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.
Improve design efficiency and reduce costs with this practical
guide to formal and simulation-based functional verification.
Giving you a theoretical and practical understanding of the key
issues involved, expert authors including Wayne Wolf and Dan Gajski
explain both formal techniques (model checking, equivalence
checking) and simulation-based techniques (coverage metrics, test
generation). You get insights into practical issues including
hardware verification languages (HVLs) and system-level debugging.
The foundations of formal and simulation-based techniques are
covered too, as are more recent research advances including
transaction-level modeling and assertion-based verification, plus
the theoretical underpinnings of verification, including the use of
decision diagrams and Boolean satisfiability (SAT).
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