Automated Emission Data Registration and Segmentation for IC Analysis

Thursday, November 10, 2016: 8:00 AM
108 (Fort Worth Convention Center)
Dr. Franco Stellari , IBM Research, Yorktown Heights, NY
Dr. Peilin Song , IBM T.J. Watson Research Center, Yorktown Heights, NY

Summary:

In this paper, the development of advanced emission data analysis methodologies for IC debugging and characterization is discussed. Techniques for automated layout to emission registration and data segmentations are proposed and demonstrated using both 22 nm and 14 nm SOI test chips. In particular, gate level registration accuracy is leveraged to compare the emission of different types of gates and quickly create variability maps automatically.
See more of: Fault Isolation I
See more of: Technical Program