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Nanometer Variationtolerant Sram Circuits And Statistical Design For Yield 1st Edition Mohamed H Aburahma

  • SKU: BELL-4230800
Nanometer Variationtolerant Sram Circuits And Statistical Design For Yield 1st Edition Mohamed H Aburahma
$ 31.00 $ 45.00 (-31%)

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Nanometer Variationtolerant Sram Circuits And Statistical Design For Yield 1st Edition Mohamed H Aburahma instant download after payment.

Publisher: Springer-Verlag New York
File Extension: PDF
File size: 5.38 MB
Pages: 172
Author: Mohamed H. Abu-Rahma, Mohab Anis (auth.)
ISBN: 9781461417484, 9781461417491, 1461417481, 146141749X
Language: English
Year: 2013
Edition: 1

Product desciption

Nanometer Variationtolerant Sram Circuits And Statistical Design For Yield 1st Edition Mohamed H Aburahma by Mohamed H. Abu-rahma, Mohab Anis (auth.) 9781461417484, 9781461417491, 1461417481, 146141749X instant download after payment.

Variability is one of the most challenging obstacles for IC design in the nanometer regime. In nanometer technologies, SRAM show an increased sensitivity to process variations due to low-voltage operation requirements, which are aggravated by the strong demand for lower power consumption and cost, while achieving higher performance and density. With the drastic increase in memory densities, lower supply voltages, and higher variations, statistical simulation methodologies become imperative to estimate memory yield and optimize performance and power.

This bookis an invaluable reference on robust SRAM circuits and statistical design methodologies for researchers and practicing engineers in the field of memory design. It combines state of the art circuit techniques and statistical methodologies to optimizeSRAM performance and yield in nanometer technologies.

  • Provides comprehensive review of state-of-the-art, variation-tolerant SRAM circuit techniques;
  • Discusses Impact of device related process variations and how they affect circuit and system performance, from a design point of view;
  • Helps designers optimize memory yield, with practical statistical design methodologies and yield estimation techniques.

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