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

Autor: Qin, Yifan, Jia, Zhenge, Yan, Zheyu, Mok, Jay, Yung, Manto, Liu, Yu, Liu, Xuejiao, Wen, Wujie, Liang, Luhong, Cheng, Kwang-Ting Tim, Hu, X. Sharon, Shi, Yiyu

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 50% sparsity in a quantized 1D CNN using a sparse processing element

Externí odkaz: http://arxiv.org/abs/2410.17395

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Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers

Autor: Dong, Pingcheng, Tan, Yonghao, Zhang, Dong, Ni, Tianwei, Liu, Xuejiao, Liu, Yu, Luo, Peng, Liang, Luhong, Liu, Shih-Yang, Huang, Xijie, Zhu, Huaiyu, Pan, Yun, An, Fengwei, Cheng, Kwang-Ting

Non-linear functions are prevalent in Transformers and their lightweight variants, incurring substantial and frequently underestimated hardware costs. Previous state-of-the-art works optimize these operations by piece-wise linear approximation and st

Externí odkaz: http://arxiv.org/abs/2403.19591

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A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications

Autor: Wang, Xiaomeng, Tian, Fengshi, Chen, Xizi, Zheng, Jiakun, Liu, Xuejiao, Tu, Fengbin, Yang, Jie, Sawan, Mohamad, Cheng, Kwang-Ting, Tsui, Chi-Ying

In this paper, we propose a high-precision SRAM-based CIM macro that can perform 4x4-bit MAC operations and yield 9-bit signed output. The inherent discharge branches of SRAM cells are utilized to apply time-modulated MAC and 9-bit ADC readout operat

Externí odkaz: http://arxiv.org/abs/2307.05944

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