Yield Simulation for Integrated Circuits
In the summer of 1981 I was asked to consider the possibility of manufacturing a 600,000 transistor microprocessor in 1985. It was clear that the technology would only be capable of manufacturing 100,000-200,000 transistor chips with acceptable yields. The control store ROM occupied approximately half of the chip area, so I considered adding spare rows and columns to increase ROM yield. Laser-programmed polysilicon fuses would be used to switch between good and bad circuits. Since only half the chip area would have redundancy, I was concerned that the increase in yield would not outweigh the increased costs of testing and redundancy programming. The fabrication technology did not yet exist, so I was unable to experimentally verify the benefits of redundancy. When the technology did become available, it would be too late in the development schedule to spend time running test chips. The yield analysis had to be done analytically or by simulation. Analytic yield analysis techniques did not offer sufficient accuracy for dealing with complex structures. The simulation techniques then available were very labor-intensive and seemed more suitable for redundant memories and other very regular structures [Stapper 80J. I wanted a simulator that would allow me to evaluate the yield of arbitrary redundant layouts, hence I termed such a simulator a layout or yield simulator. Since I was unable to convince anyone to build such a simulator for me, I embarked on the research myself.
1117306802
Yield Simulation for Integrated Circuits
In the summer of 1981 I was asked to consider the possibility of manufacturing a 600,000 transistor microprocessor in 1985. It was clear that the technology would only be capable of manufacturing 100,000-200,000 transistor chips with acceptable yields. The control store ROM occupied approximately half of the chip area, so I considered adding spare rows and columns to increase ROM yield. Laser-programmed polysilicon fuses would be used to switch between good and bad circuits. Since only half the chip area would have redundancy, I was concerned that the increase in yield would not outweigh the increased costs of testing and redundancy programming. The fabrication technology did not yet exist, so I was unable to experimentally verify the benefits of redundancy. When the technology did become available, it would be too late in the development schedule to spend time running test chips. The yield analysis had to be done analytically or by simulation. Analytic yield analysis techniques did not offer sufficient accuracy for dealing with complex structures. The simulation techniques then available were very labor-intensive and seemed more suitable for redundant memories and other very regular structures [Stapper 80J. I wanted a simulator that would allow me to evaluate the yield of arbitrary redundant layouts, hence I termed such a simulator a layout or yield simulator. Since I was unable to convince anyone to build such a simulator for me, I embarked on the research myself.
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Yield Simulation for Integrated Circuits

Yield Simulation for Integrated Circuits

by D.M. Walker
Yield Simulation for Integrated Circuits

Yield Simulation for Integrated Circuits

by D.M. Walker

Paperback(Softcover reprint of hardcover 1st ed. 1987)

$169.99 
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Overview

In the summer of 1981 I was asked to consider the possibility of manufacturing a 600,000 transistor microprocessor in 1985. It was clear that the technology would only be capable of manufacturing 100,000-200,000 transistor chips with acceptable yields. The control store ROM occupied approximately half of the chip area, so I considered adding spare rows and columns to increase ROM yield. Laser-programmed polysilicon fuses would be used to switch between good and bad circuits. Since only half the chip area would have redundancy, I was concerned that the increase in yield would not outweigh the increased costs of testing and redundancy programming. The fabrication technology did not yet exist, so I was unable to experimentally verify the benefits of redundancy. When the technology did become available, it would be too late in the development schedule to spend time running test chips. The yield analysis had to be done analytically or by simulation. Analytic yield analysis techniques did not offer sufficient accuracy for dealing with complex structures. The simulation techniques then available were very labor-intensive and seemed more suitable for redundant memories and other very regular structures [Stapper 80J. I wanted a simulator that would allow me to evaluate the yield of arbitrary redundant layouts, hence I termed such a simulator a layout or yield simulator. Since I was unable to convince anyone to build such a simulator for me, I embarked on the research myself.

Product Details

ISBN-13: 9781441952011
Publisher: Springer US
Publication date: 12/10/2010
Series: The Springer International Series in Engineering and Computer Science , #33
Edition description: Softcover reprint of hardcover 1st ed. 1987
Pages: 209
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

1. Introduction.- 2. Background.- 3. Defect Models.- 4. Defect Statistics.- 5. Fault Analysis.- 6. VLASIC Implementation.- 7. Redundancy Analysis System.- 8. Fabrication Data.- 9. Conclusions and Current Research.- References.
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