Deep learning acceleration: from quantization to in-memory computing by Zhu, Shien

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iMAD: an in-memory accelerator for AdderNet with efficient 8-bit addition and subtraction operations by Zhu, Shien, Li, Shiqing, Liu, Weichen

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XOR-Net : an efficient computation pipeline for binary neural network inference on edge devices by Zhu, Shien, Duong, Luan H. K., Liu, Weichen

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TAB : unified and optimized ternary, binary and mixed-precision neural network inference on the edge by Zhu, Shien, Duong, Luan H. K., Liu, Weichen

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Parallel multipath transmission for burst traffic optimization in point-to-point NoCs by Chen, Hui, Zhang, Zihao, Chen, Peng, Zhu, Shien, Liu, Weichen

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An efficient sparse LSTM accelerator on embedded FPGAs with bandwidth-oriented pruning by Li, Shiqing, Zhu, Shien, Luo, Xiangzhong, Luo, Tao, Liu, Weichen

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FAT: an in-memory accelerator with fast addition for ternary weight neural networks by Zhu, Shien, Duong, Luan H. K., Chen, Hui, Liu, Di, Liu, Weichen

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