No abstract

Statistical circuit design is essentially a method of design for reliability and high yield. For all but the smallest circuits, this is a CAD problem. Within this problem there are three subproblems: design centering, tolerance assignment, and variability reduction. This paper concentrates on design centering. Yield optimization is inherently a difficult problem because yield cannot, in general, be calculated exactly; only estimates of the yield are available. Furthermore, yield gradients are not available when some yield estimation techniques are used. This paper presents a review of useful definitions using parameter space concepts. Yield estimation techniques and some of their properties are also presented. The two distinct yield optimization strategies commercially available today, statistical and deterministic, are each discussed in detail. Examples of each are given.

Expert investigators bring advanced skills and deep experience to analyze visual evidence, but they face limits on their time and attention. In contrast, crowds of novices can be highly scalable and parallelizable, but lack expertise. In this paper, we introduce the concept of shared representations for crowd--augmented expert work, focusing on the complex sensemaking task of image geolocation performed by professional journalists and human rights investigators. We built GroundTruth, an online system that uses three shared representations-a diagram, grid, and heatmap-to allow experts to work with crowds in real time to geolocate images. Our mixed-methods evaluation with 11 experts and 567 crowd workers found that GroundTruth helped experts geolocate images, and revealed challenges and success strategies for expert-crowd interaction. We also discuss designing shared representations for visual search, sensemaking, and beyond.

No abstract