Stochastic Process Variation in Deep-Submicron CMOS - Circuits and Algorithms (Hardcover, 2014 ed.)

One of the most notable features of nanometer scale CMOS technology is the increasing magnitude of variability of the key device parameters affecting performance of integrated circuits. The growth of variability can be attributed to multiple factors, including the difficulty of manufacturing control, the emergence of new systematic variation-generating mechanisms, and most importantly, the increase in atomic-scale randomness, where device operation must be described as a stochastic process. In addition to wide-sense stationary stochastic device variability and temperature variation, existence of non-stationary stochastic electrical noise associated with fundamental processes in integrated-circuit devices represents an elementary limit on the performance of electronic circuits. In an attempt to address these issues, Stochastic Process Variation in Deep-Submicron CMOS: Circuits and Algorithms offers unique combination of mathematical treatment of random process variation, electrical noise and temperature and necessary circuit realizations for on-chip monitoring and performance calibration. The associated problems are addressed at various abstraction levels, i.e. circuit level, architecture level and system level. It therefore provides a broad view on the various solutions that have to be used and their possible combination in very effective complementary techniques for both analog/mixed-signal and digital circuits. The feasibility of the described algorithms and built-in circuitry has been verified by measurements from the silicon prototypes fabricated in standard 90 nm and 65 nm CMOS technology.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Springer Series in Advanced Microelectronics, 48
Release date:	November 2013
First published:	2014
Authors:	Amir Zjajo
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Hardcover
Pages:	192
Edition:	2014 ed.
ISBN-13:	978-9400777804
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
LSN:	9400777809
Barcode:	9789400777804

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