Online Public Access Catalogue

Embedded Memories for Nano-Scale VLSIs (Record no. 20322)

MARC details
020 ## -
-- 9780387884974
-- 978-0-387-88497-4
024 7# -
-- 10.1007/978-0-387-88497-4
-- doi
050 #4 -
-- TK7888.4
072 #7 -
-- TJFC
-- bicssc
072 #7 -
-- TEC008010
-- bisacsh
082 04 -
-- 621.3815
-- 23
100 1# -
-- Zhang, Kevin.
-- editor.
245 10 -
-- Embedded Memories for Nano-Scale VLSIs
-- [electronic resource] /
-- edited by Kevin Zhang.
264 #1 -
-- Boston, MA :
-- Springer US,
-- 2009.
300 ## -
-- online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# -
-- Integrated Circuits and Systems,
-- 1558-9412
505 0# -
-- Embedded Memory Architecture for Low-Power Application Processor -- Embedded SRAM Design in Nanometer-Scale Technologies -- Ultra Low Voltage SRAM Design -- Embedded DRAM in Nano-scale Technologies -- Embedded Flash Memory -- Embedded Magnetic RAM -- FeRAM -- Statistical Blockade: Estimating Rare Event Statistics for Memories.
520 ## -
-- Embedded Memories for Nano-Scale VLSIs provides a comprehensive and in-depth view on the state-of-the-art embedded memory technologies. The material covers key technology attributes and advanced design techniques in nano-scale VLSI design. It also discusses how to make decisions concerning the right design tradeoffs in real product development. This book first provides an overview on the landscape and trend of embedded memory in various VLSI system designs, including high-performance microprocessor, low-power mobile handheld devices, micro-controllers, and various consumer electronics. It then shows an in-depth view on each different type of embedded memory technology, including high-speed SRAM, ultra-low-voltage and alternative SRAM, embedded DRAM, embedded nonvolatile memory, and emerging or so-called "universal" memories such as FeRAM and MRAM. Each topic includes coverage of the key technology attributes from a product application perspective, ranging from technology scaling challenges to advanced circuit techniques for achieving optimal design tradeoff in performance and power. VLSI systems are becoming increasingly dependent on on-die memory to provide adequate memory bandwidth for various applications and this book gives readers a broader view of this important field to help them to achieve their optimal design goals for different applications. Embedded Memories for Nano-Scale VLSIs is a valuable reference for engineers and academics in the field.
650 #0 -
-- Engineering.
650 #0 -
-- Computer hardware.
650 #0 -
-- Memory management (Computer science).
650 #0 -
-- Computer engineering.
650 #0 -
-- Electronics.
650 #0 -
-- Systems engineering.
650 #0 -
-- Nanotechnology.
650 14 -
-- Engineering.
650 24 -
-- Circuits and Systems.
650 24 -
-- Electronics and Microelectronics, Instrumentation.
650 24 -
-- Memory Structures.
650 24 -
-- Computer Hardware.
650 24 -
-- Electrical Engineering.
650 24 -
-- Nanotechnology.
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9780387884967
830 #0 -
-- Integrated Circuits and Systems,
-- 1558-9412
856 40 -
-- http://dx.doi.org/10.1007/978-0-387-88497-4
912 ## -
-- ZDB-2-ENG
950 ## -
-- Engineering (Springer-11647)
999 ## -
-- 20322
-- 20322

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