Design for Manufacturability and Statistical Design: A Comprehensive Approach presents a comprehensive overview of methods that need to be mastered in understanding state-of-the-art design for manufacturability and statistical design methodologies. Broadly, design for manufacturability is a set of techniques that attempt to fix the systematic sources of variability, such as those due to photolithography and CMP. Statistical design, on the other hand, deals with the random sources of variability. Both paradigms operate within a common framework, and their joint comprehensive treatment is one of the objectives of this book and an important differentation.In , the fact that sizing problems have fairly flat maxima is exploited to search for a robust solution. The technique also utilizes the notion of asofta maximum of edge delays as a way to introduce variance awareness into the problem.
|Title||:||Design for Manufacturability and Statistical Design|
|Author||:||Michael Orshansky, Sani Nassif, Duane Boning|
|Publisher||:||Springer Science & Business Media - 2007-10-28|