Approximate computing: Concepts, architectures, challenges, applications, and future directions

AM Dalloo, AJ Humaidi, AK Al Mhdawi… - IEEE …, 2024 - ieeexplore.ieee.org
The unprecedented progress in computational technologies led to a substantial proliferation
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …

Conservative Gaussian Process Models for Uncertainty Quantification and Bayesian Optimization in Signal Integrity Applications

P Manfredi - IEEE Transactions on Components, Packaging …, 2024 - ieeexplore.ieee.org
Surrogate modeling is being increasingly adopted in signal and power integrity analysis to
assist design exploration, optimization, and uncertainty quantification tasks. In this scenario …

Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams

M Telescu, R Trinchero, N Soleimani… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The eye diagram is one of the most common tools used for quality assessment in high-
speed links. This article proposes a method of predicting the shape of the inner eye for a link …

A Fast Metalearning Algorithm for Neural Network Enabled Uncertainty Quantification of Graphene Based Interconnects with Passive Shielding

AK Jakhar, D Basu, K Dimple, S Guglani… - … , Signal & Power …, 2024 - ieeexplore.ieee.org
Inserting passive shield lines in between the active and victim conductors has become a
standard approach for mitigating the crosstalk effects in multi-walled carbon nanotube …

Noise-Aware Uncertainty Quantification of MLGNR Interconnects using Fast Trained Artificial Neural Networks

AK Jakhar, S Guglani, A Dasgupta… - 2023 IEEE Electrical …, 2023 - ieeexplore.ieee.org
This paper presents a prior knowledge accelerated transfer learning technique to efficiently
train artificial neural networks (ANNs) to address uncertainty in on-chip multilayer graphene …

Optimization of Eye Diagram Characteristics of MLGNR Interconnect Networks Using Fast ML Assisted Evolutionary Algorithm

K Dimple, M Ehteshamuddin, S Guglani… - 2023 IEEE Electrical …, 2023 - ieeexplore.ieee.org
In this paper, a knowledge based artificial neural network (KBANN) assisted evolutionary
algorithm (EA) is presented for optimization of eye diagram characteristics of on-chip multi …

Parasitic Effects Analysis and Equivalent Circuit Modeling of Tapered Serpentine Interconnects of On-chip FBAR up to 67GHz

X Cao, W Li, Q Cai, L Zhou… - 2024 Photonics & …, 2024 - ieeexplore.ieee.org
As an important part of the 5G communication system, millimeter-wave on-chip circuits and
systems have become a hot research area in recent years. With the rapid development of …