Machine learning in advanced IC design: A methodological survey
The increasing complexity and size of design space poses significant challenges for
integrated circuit (IC) design. This article discusses the potential of machine learning (ML) …
integrated circuit (IC) design. This article discusses the potential of machine learning (ML) …
Deep learning strategies for labeling and accuracy optimization in microcontroller performance screening
N Bellarmino, R Cantoro, M Huch… - … on Computer-Aided …, 2024 - ieeexplore.ieee.org
In safety-critical applications, microcontrollers must be compliant with the required quality
constraints and performance standards, particularly in terms of the maximum operating …
constraints and performance standards, particularly in terms of the maximum operating …
Test, reliability and functional safety trends for automotive system-on-chip
This paper encompasses three contributions by industry professionals and university
researchers. The contributions describe different trends in automotive products, including …
researchers. The contributions describe different trends in automotive products, including …
Microcontroller performance screening: Optimizing the characterization in the presence of anomalous and noisy data
N Bellarmino, R Cantoro, M Huch… - 2022 IEEE 28th …, 2022 - ieeexplore.ieee.org
In safety-critical applications, microcontrollers must satisfy strict quality constraints and
performances in terms of F_\max, that is, the maximum operating frequency. It has been …
performances in terms of F_\max, that is, the maximum operating frequency. It has been …
Semi-Supervised Deep Learning for Microcontroller Performance Screening
N Bellarmino, R Cantoro, M Huch… - 2023 IEEE European …, 2023 - ieeexplore.ieee.org
In safety-critical applications, microcontrollers must satisfy strict quality constraints and
performances in terms of F max (the maximum operating frequency). Data extracted from on …
performances in terms of F max (the maximum operating frequency). Data extracted from on …
COSMO: COmpressed Sensing for Models and logging Optimization in MCU Performance Screening
In safety-critical applications, microcontrollers must meet stringent quality and performance
standards, including the maximum operating frequency F max. Machine learning models …
standards, including the maximum operating frequency F max. Machine learning models …
A Multilabel Active Learning Framework for Microcontroller Performance Screening
N Bellarmino, R Cantoro, M Huch… - … on Computer-Aided …, 2023 - ieeexplore.ieee.org
In safety-critical applications, microcontrollers have to be tested to satisfy strict quality and
performance constraints. It has been demonstrated that on-chip ring oscillators can be used …
performance constraints. It has been demonstrated that on-chip ring oscillators can be used …
Enabling Inter-Product Transfer Learning on MCU Performance Screening
N Bellarmino, R Cantoro, M Huch… - 2023 IEEE 32nd …, 2023 - ieeexplore.ieee.org
In safety-critical applications, microcontrollers must meet strict quality and performance
standards, including the maximum operating frequency (F_\max). Machine learning (ML) …
standards, including the maximum operating frequency (F_\max). Machine learning (ML) …
On-Chip Structures for Fmax Binning and Optimization
D Zhang, Q Ren, D Su - Sensors, 2022 - mdpi.com
Process variations during manufacturing lead to differences in the performance of the chips.
In order to better utilize the performance of the chips, it is necessary to perform maximum …
In order to better utilize the performance of the chips, it is necessary to perform maximum …
Embedded Feature Selection in MCU Performance Screening
N Bellarmino, R Cantoro, M Huch… - … on Design, Test and …, 2024 - ieeexplore.ieee.org
In safety-critical applications, microcontrollers must satisfy strict quality constraints in terms of
maximum operating frequency (F max). Data from on-chip ring oscillators, the so-called …
maximum operating frequency (F max). Data from on-chip ring oscillators, the so-called …