First-order incremental block-based statistical timing analysis
Proceedings of the 41st annual Design Automation Conference
Statistical Timing Analysis Considering Spatial Correlations using a Single Pert-Like Traversal
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
The Elmore delay as a bound for RC trees with generalized input signals
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Closed-form expressions for extending step delay and slew metrics to ramp inputs for RC trees
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Advances in Computation of the Maximum of a Set of Gaussian Random Variables
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Statistical Timing Analysis: From Basic Principles to State of the Art
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
TAU 2014 contest on removing common path pessimism during timing analysis
Proceedings of the 2014 on International symposium on physical design
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Timing analysis is a key component of any integrated circuit (IC) chip design-closure flow, and is employed at various stages of the flow including pre/post-route timing optimization and timing signoff. While accurate timing analysis is important, the run-time of the analysis is equally critical with growing chip design sizes and complexity (for example, increasing number of clocks domains, voltage islands, etc.). In addition, the increasing significance of variability in the chip manufacturing process as well as environmental variability necessitates use of variation aware techniques (e.g. statistical, multi-corner) for chip timing analysis which significantly impacts the analysis run-time. The aim of the TAU 2013 variation aware timing contest is to seek novel ideas for fast variation aware timing analysis, by means of the following: (a) increase awareness of variation aware timing analysis and provide insight into some challenging aspects of the analysis, (b) encourage novel parallelization techniques (including multi-threading) for timing analysis, and (c) facilitate creation of a publicly available variation aware timing analysis framework and benchmarks to further advance research in this area.