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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Accurate Computation of Sensitizable Paths Using Answer Set Programming
verfasst von : Benjamin Andres, Matthias Sauer, Martin Gebser, Tobias Schubert, Bernd Becker, Torsten Schaub
Erschienen in: Logic Programming and Nonmonotonic Reasoning
Verlag: Springer Berlin Heidelberg
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Precise knowledge of the longest sensitizable paths in a circuit is crucial for various tasks in computer-aided design, including timing analysis, performance optimization, delay testing, and speed binning. As delays in today’s nanoscale technologies are increasingly affected by statistical parameter variations, there is significant interest in obtaining sets of paths that are within a length range. For instance, such path sets can be used in the emerging areas of
Post-silicon validation and characterization
and
Adaptive Test
. We present an ASP-based method for computing well-defined sets of sensitizable paths within a length range. Unlike previous approaches, the method is accurate and does not rely on a priori relaxations. Experimental results demonstrate the applicability and scalability of our method.