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09/05/2023
HW/SW Codesign for Robust and Efficient Binarized SNNs by Capacitor Minimization
Using accelerators based on analog computing is an efficient way to proc...
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08/23/2022
AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks
The globalization of the Integrated Circuit (IC) market is attracting an...
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08/04/2022
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation
Process variations and device aging impose profound challenges for circu...
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07/08/2022
Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning
The pivotal issue of reliability is one of colossal concern for circuit ...
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04/05/2022
Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing?
Brain-inspired hyperdimensional computing (HDC) is an emerging machine l...
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03/15/2022
Automated Design Approximation to Overcome Circuit Aging
Transistor aging phenomena manifest themselves as degradations in the ma...
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07/20/2021
Positive/Negative Approximate Multipliers for DNN Accelerators
Recent Deep Neural Networks (DNNs) managed to deliver superhuman accurac...
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03/08/2021
Reliability-Aware Quantization for Anti-Aging NPUs
Transistor aging is one of the major concerns that challenges designers ...
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02/18/2021
Control Variate Approximation for DNN Accelerators
In this work, we introduce a control variate approximation technique for...
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07/08/2020
Power Side-Channel Attacks in Negative Capacitance Transistor (NCFET)
Side-channel attacks have empowered bypassing of cryptographic component...
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04/28/2020
Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management
In this paper, we propose a novel accuracy-reconfigurable stochastic com...
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04/07/2020
SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory
Several emerging technologies for byte-addressable non-volatile memory (...
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04/06/2020
