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04/22/2021
Enabling Cross-Layer Reliability and Functional Safety Assessment Through ML-Based Compact Models
Typical design flows are hierarchical and rely on assembling many indivi...
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04/05/2021
Composing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects
Rapidly shrinking technology node and voltage scaling increase the susce...
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04/05/2021
The Validation of Graph Model-Based, Gate Level Low-Dimensional Feature Data for Machine Learning Applications
As an alternative to traditional fault injection-based methodologies and...
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04/05/2021
Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors
The paper is proposing a methodology for modeling a gate-level netlist u...
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08/31/2020
Machine Learning Clustering Techniques for Selective Mitigation of Critical Design Features
Selective mitigation or selective hardening is an effective technique to...
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09/01/2019