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Energy-Aware Memory Management for Embedded Multimedia Systems

€260.40
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address generation
advanced memory energy optimisation strategies
Age Group_Uncategorized
Age Group_Uncategorized
allocation
Array Elements
Array Reference
automatic-update
B01=Dhiraj K. Pradhan
B01=Florin Balasa
Body Bias
Category1=Non-Fiction
Category=UMB
Category=UYD
Category=UYF
computer-aided design (CAD)
Convex Union
COP=United States
data-dependence analysis
Delivery_Delivery within 10-20 working days
domain
Dual Port Memory
Dynamic Energy
Dynamic Energy Consumption
electronic design automation
Embedded Multimedia Systems
Embedded Systems
Energy-Aware Memory Management
energy-efficient port assignment
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
form
Gate Leakage
hermite
HNF
Iteration Domain
Iterator Vector
Language_English
leakage
Leakage Power
loop
Loop Nest
loops
Memory Architecture
memory banking
memory size estimation
memory subsystem
Multiport Memories
nested
normal
PA=Available
Pareto Solutions
polyhedral analysis
Power Consumption
Price_€100 and above
PS=Active
RBB
register
Register Allocation
RISC Processor
Scratch Pad Memory
signal integrity
Signal Mapping
Sleep Transistor
SoC design techniques
softlaunch
SRAM Memory
Statement S1
static power reduction
streaming dataflow
Subthreshold Leakage
system-level optimisation
Threshold Voltage

Product details

  • ISBN 9781439814000
  • Weight: 657g
  • Dimensions: 156 x 234mm
  • Publication Date: 16 Nov 2011
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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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.
About

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.