Current very-large-scale-integration (VLSI) technology allows the manu
facture of large-area integrated circuits with submicrometer feature s
izes, enabling designs with several millions of devices. However; impe
rfections in the fabrication process result in yield-reducing manufact
uring defects, whose severity grows proportionally with the size and d
ensity of the chip. Consequently, the development and use of yield-enh
ancement techniques at the design stage, to complement existing effort
s at the manufacturing stage, is economically justifiable. Design-stag
e yield-enhancement techniques are aimed at making the integrated circ
uit ''defect tolerant,'' i.e., less sensitive to manufacturing defects
. They include incorporating redundancy into the design, modifying the
circuit floorplan, and modifying its layout. Successful designs of de
fect-tolerant chips must rely on accurate yield projections. This pape
r reviews the currently used statistical yield-prediction models and t
heir application to defect-tolerant designs. We then provide a detaile
d survey of various yield-enhancement techniques and illustrate their
use by describing the design of several representative defect-tolerant
VLSI circuits.