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08/07/2023
Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks
With the continuous increase in the size and complexity of machine learn...
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09/02/2022
Don't CWEAT It: Toward CWE Analysis Techniques in Early Stages of Hardware Design
To help prevent hardware security vulnerabilities from propagating to la...
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07/22/2022
Characterizing Coherent Integrated Photonic Neural Networks under Imperfections
Integrated photonic neural networks (IPNNs) are emerging as promising su...
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04/19/2022
Characterization and Optimization of Integrated Silicon-Photonic Neural Networks under Fabrication-Process Variations
Silicon-photonic neural networks (SPNNs) have emerged as promising succe...
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04/08/2022
LoCI: An Analysis of the Impact of Optical Loss and Crosstalk Noise in Integrated Silicon-Photonic Neural Networks
Compared to electronic accelerators, integrated silicon-photonic neural ...
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12/14/2021
Pruning Coherent Integrated Photonic Neural Networks Using the Lottery Ticket Hypothesis
Singular-value-decomposition-based coherent integrated photonic neural n...
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12/11/2021
CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks
We propose a novel hardware-aware magnitude pruning technique for cohere...
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11/17/2021
ReaLPrune: ReRAM Crossbar-aware Lottery Ticket Pruned CNNs
Training machine learning (ML) models at the edge (on-chip training on e...
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03/11/2021
Exploring the Mysteries of System-Level Test
System-level test, or SLT, is an increasingly important process step in ...
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02/16/2021
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks
Graph Neural Network (GNN) is a variant of Deep Neural Networks (DNNs) o...
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12/19/2020