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09/06/2023
Are SNNs Truly Energy-efficient? - A Hardware Perspective
Spiking Neural Networks (SNNs) have gained attention for their energy-ef...
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05/16/2023
MINT: Multiplier-less Integer Quantization for Spiking Neural Networks
We propose Multiplier-less INTeger (MINT) quantization, an efficient uni...
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02/13/2023
Workload-Balanced Pruning for Sparse Spiking Neural Networks
Pruning for Spiking Neural Networks (SNNs) has emerged as a fundamental ...
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06/20/2022
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars
Spiking Neural Networks (SNNs) have recently emerged as the low-power al...
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09/16/2021
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning
Present-day Deep Reinforcement Learning (RL) systems show great promise ...
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02/15/2018
