Quasar - Boosting the Evaluation of the Variability Effects on Radiation Sensitivity

This work presents a tool developed to boost the evaluation of the variability effects on the radiation sensitivity in detail at an electrical level. The tool can handle from small basic cells to median multi gate circuits in few seconds, speeding-up the traditional fault injection mechanism based on large number of electrical simulations. The tool explores logical masking to reduce the design space exploration and parallelism to speed up the circuit level evaluation. To show the applicability of the tool, this work presents results for circuits of a 2-input XOR function in complementary and transmission gate topologies.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icecs61496.2024.10849278
Citations
1
Primary Topic
Statistical and numerical algorithms
Type
article
Field-Weighted Citation Impact
0.97
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article

Quasar - Boosting the Evaluation of the Variability Effects on Radiation Sensitivity

Leonardo H. Brendler, Cristina Meinhardt, Rafael B. Schvittz, Bernardo Borges Sandoval
1 citations
Statistical and numerical algorithms
0.97
article

Quasar - Boosting the Evaluation of the Variability Effects on Radiation Sensitivity

Leonardo H. Brendler, Cristina Meinhardt, Rafael B. Schvittz, Bernardo Borges Sandoval
article en
1 citations

Abstract

This work presents a tool developed to boost the evaluation of the variability effects on the radiation sensitivity in detail at an electrical level. The tool can handle from small basic cells to median multi gate circuits in few seconds, speeding-up the traditional fault injection mechanism based on large number of electrical simulations. The tool explores logical masking to reduce the design space exploration and parallelism to speed up the circuit level evaluation. To show the applicability of the tool, this work presents results for circuits of a 2-input XOR function in complementary and transmission gate topologies.

Universidade Federal do Rio Grande (BR), Universidade Federal de Santa Catarina (BR)
Climate action
Openalex Percentile: Top 21%
Statistical and numerical algorithms
0.97
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