Chapter 5
Applications
In this chapter, we introduce a number of novel applications for the proposed
variations estimation methods. My methods are fast, cheap, and applicable to
all the combinatorial circuits. However, the previously proposed methods for
variations estimation are expensive and design specific. Thus, they can barely be
used in the following applications.
1. Improving modeling and simulation: Modeling a random variable is the
first step in finding its effects on a system. Modeling the process variation
is widely addressed in the literature [8,12,16,23,30,36,43,46,47,50,76,79].
However, there are a limited number of variation measurements that can
be used to fit a specific model and verify it. Our method introduces a fast
method to acquire an accurate estimation of variations in a specific IC.
The introduced variations estimation method can be also used in variation
59
More intriguing information
1. The name is absent2. Does South Africa Have the Potential and Capacity to Grow at 7 Per Cent?: A Labour Market Perspective
3. The name is absent
4. PROPOSED IMMIGRATION POLICY REFORM & FARM LABOR MARKET OUTCOMES
5. Testing Hypotheses in an I(2) Model with Applications to the Persistent Long Swings in the Dmk/$ Rate
6. Knowledge, Innovation and Agglomeration - regionalized multiple indicators and evidence from Brazil
7. LOCAL CONTROL AND IMPROVEMENT OF COMMUNITY SERVICE
8. The name is absent
9. Economie de l’entrepreneur faits et théories (The economics of entrepreneur facts and theories)
10. The name is absent