The nature of statistical learning theory
The nature of statistical learning theory
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Statistical gate delay model considering multiple input switching
Proceedings of the 41st annual Design Automation Conference
On Silicon-Based Speed Path Identification
VTS '05 Proceedings of the 23rd IEEE Symposium on VLSI Test
Power grid physics and implications for CAD
Proceedings of the 43rd annual Design Automation Conference
Design-silicon timing correlation: a data mining perspective
Proceedings of the 44th annual Design Automation Conference
Silicon speedpath measurement and feedback into EDA flows
Proceedings of the 44th annual Design Automation Conference
Speedpath prediction based on learning from a small set of examples
Proceedings of the 45th annual Design Automation Conference
Speedpath analysis under parametric timing models
Proceedings of the 47th Design Automation Conference
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In modern high-performance microprocessors designed using advanced process technologies, the frequency of the part is often slower than what the static timing analysis tools predict before tape out. We give an overview of techniques used to observe the failing path on the tester, identify the dominant devices impacting the delay of the path, and learn from the failing path to fix other similar paths in the design. In particular, we describe a Support Vector Machine based approach for learning from speedpaths observed in silicon.