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05/31/2023
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator
The wide adoption and significant computing resource consumption of atte...
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05/31/2023
M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference
Photonic computing shows promise for transformative advancements in mach...
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05/24/2023
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers
Transformers have achieved great success in machine learning application...
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11/24/2022
PC-SNN: Supervised Learning with Local Hebbian Synaptic Plasticity based on Predictive Coding in Spiking Neural Networks
Deemed as the third generation of neural networks, the event-driven Spik...
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07/30/2022
Delving into Effective Gradient Matching for Dataset Condensation
As deep learning models and datasets rapidly scale up, network training ...
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12/15/2021
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement
With the recent advances in optical phase change material (PCM), photoni...
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10/27/2021
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
Silicon-photonics-based optical neural network (ONN) is a promising hard...
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10/04/2021
A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms
Discrete cosine transform (DCT) and other Fourier-related transforms hav...
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09/06/2021
Delving into Macro Placement with Reinforcement Learning
In physical design, human designers typically place macros via trial and...
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08/25/2021
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation
Deep neural networks (DNN) have shown superior performance in a variety ...
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04/01/2021
