Abstract
The pessimistic nature of conventional static timing
analysis has turned the attention of many studies to the exploitation of the dynamic data-dependent excitation of paths. Such
studies may have revealed extensive dynamic timing slacks (DTS),
however, they rely on frameworks that inherently make worstcase assumptions and still ignore some data-dependent timing
properties. This may cause significant DTS underestimation,
leading to unexploited frequency scaling margins and incorrect
timing failure estimation. In this paper, we develop a framework based on event-driven timing simulation that identifies
the underestimated DTS, and evaluate its gains on various
post-place-and-route designs. Experimental results show that
our event-driven simulation scheme achieves on average 2.35%
and up-to 194.51% DTS improvement over conventional graphbased techniques. When compared to existing frequency scaling
schemes, the proposed approach enables us to further increase the
clock frequency by up-to 10.42%. We also demonstrate that our
approach can reveal that timing failures may be up-to 2.94× less
than the ones estimated by existing failure estimation techniques,
under potential variation-induced delay increase.
Original language | English |
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Title of host publication | 21st International Symposium on Quality Electronic Design (ISQED 2020): Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 6 |
DOIs | |
Publication status | Published - 09 Jul 2020 |
Publication series
Name | International Symposium on Quality Electronic Design (ISQED): Proceedings |
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Publisher | IEEE |
ISSN (Print) | 1948-3287 |
Fingerprint
Dive into the research topics of 'Accurate Estimation of Dynamic Timing Slacks using Event-Driven Simulation'. Together they form a unique fingerprint.Student theses
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Cross-layer instruction-aware timing error mitigation & evaluation for energy-efficient dependable architectures
Tsiokanos, I. (Author), Karakonstantis, G. (Supervisor), Woods, R. (Supervisor) & Nikolopoulos, D. S. (Supervisor), Jul 2021Student thesis: Doctoral Thesis › Doctor of Philosophy
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