activity
20192021
most citedComposing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects

15 citations · 66 across the 8 of their papers we have counts for

collaborators

10 papers

cs.AR20211 cited

Enabling Cross-Layer Reliability and Functional Safety Assessment Through ML-Based Compact Models

Dan Alexandrescu, Aneesh Balakrishnan, Thomas Lange +1

Typical design flows are hierarchical and rely on assembling many individual technology elements from standard cells to complete boards. Providers use compact models to provide sim…

cs.AR202115 cited

Composing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects

Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux +2

Rapidly shrinking technology node and voltage scaling increase the susceptibility of Soft Errors in digital circuits. Soft Errors are radiation-induced effects while the radiation…

cs.AR20218 cited

The Validation of Graph Model-Based, Gate Level Low-Dimensional Feature Data for Machine Learning Applications

Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux +2

As an alternative to traditional fault injection-based methodologies and to explore the applicability of modern machine learning algorithms in the field of reliability engineering,…

cs.AR202111 cited

Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors

Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux +2

The paper is proposing a methodology for modeling a gate-level netlist using a Graph Convolutional Network (GCN). The model predicts the overall functional de-rating factors of seq…

cs.AR2020

Machine Learning Clustering Techniques for Selective Mitigation of Critical Design Features

Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux +2

Selective mitigation or selective hardening is an effective technique to obtain a good trade-off between the improvements in the overall reliability of a circuit and the hardware o…

cs.LG202013 cited

On the Estimation of Complex Circuits Functional Failure Rate by Machine Learning Techniques

Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux +2

De-Rating or Vulnerability Factors are a major feature of failure analysis efforts mandated by today's Functional Safety requirements. Determining the Functional De-Rating of seque…