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Extreme Statistics in Nanoscale Memory Design (Integrated Circuits and Systems) by Amith Singhee

Автор: Bo0mB0om » 6 марта 2016
Extreme Statistics in Nanoscale Memory Design (Integrated Circuits and Systems) by Amith Singhee
Extreme Statistics in Nanoscale Memory Design (Integrated Circuits and Systems) by Amith Singhee
English | Sep 17, 2010 | ISBN: 1441966056 | 257 Pages | PDF | 4 MB

Knowledge exists: you only have to ?nd it VLSI design has come to an important in?ection point with the appearance of large manufacturing variations as semiconductor technology has moved to 45 nm feature sizes and below.


If we ignore the random variations in the manufacturing process, simulation-based design essentially becomes useless, since its predictions will be far from the reality of manufactured ICs. On the other hand, using design margins based on some traditional notion of worst-case scenarios can force us to sacri?ce too much in terms of power consumption or manufacturing cost, to the extent of making the design goals even infeasible. We absolutely need to explicitly account for the statistics of this random variability, to have design margins that are accurate so that we can ?nd the optimum balance between yield loss and design cost.

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