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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.
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Data Storage (Hardcover)
Florin Balasa
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R3,780
R3,474
Discovery Miles 34 740
Save R306 (8%)
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Ships in 10 - 15 working days
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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.
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