Performance verification of high-performance ASICs using at-speed structural test
GLSVLSI '06 Proceedings of the 16th ACM Great Lakes symposium on VLSI
On bounding the delay of a critical path
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Design-silicon timing correlation: a data mining perspective
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
Silicon feedback to improve frequency of high-performance microprocessors: an overview
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Speedpath analysis based on hypothesis pruning and ranking
Proceedings of the 46th Annual Design Automation Conference
PSTA-based branch and bound approach to the silicon speedpath isolation problem
Proceedings of the 2009 International Conference on Computer-Aided Design
Evolutionary failing-test generation for modern microprocessors
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
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Speed path identification is an indispensable step for pushing the design timing wall and for developing the final speed binning strategy in production test. For complex high-performance designs, pre-silicon timing tools have so far not been able to deliver satisfactory results in predicting the actual speed limiting paths on the silicon. The actual speed paths are mostly uncovered through test and silicon debug, where tremendous manual effort is involved. This paper presents a novel approach as the first step for automating the speed path identification process. Our approach is silicon-based, meaning that timing information is extracted through testing of silicon sample chips. We call this step silicon learning. Based on silicon learning, we present an iterative flow for speed path identification. Experimental results are presented to explain the new methodologies and to demonstrate the effectiveness of our techniques.