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20172026
most citedA Low-Power Accelerator for Deep Neural Networks with Enlarged Near-Zero Sparsity

5 citations · 14 across the 8 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.AR2024★ 1 cited

A 10.60 W 150 GOPS Mixed-Bit-Width Sparse CNN Accelerator for Life-Threatening Ventricular Arrhythmia Detection

Yifan Qin, Zhenge Jia, Zheyu Yan +9

This paper proposes an ultra-low power, mixed-bit-width sparse convolutional neural network (CNN) accelerator to accelerate ventricular arrhythmia (VA) detection. The chip achieves…

cs.AR2024

TSB: Tiny Shared Block for Efficient DNN Deployment on NVCIM Accelerators

Yifan Qin, Zheyu Yan, Zixuan Pan +3

Compute-in-memory (CIM) accelerators using non-volatile memory (NVM) devices offer promising solutions for energy-efficient and low-latency Deep Neural Network (DNN) inference exec…