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Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems.

, , , , и . DAC, стр. 33:1-33:6. ACM, (2017)

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Lixue Chen

Hong Xia

Zhigao Xia

Yingbo Xia

Ye Xia

 

Другие публикации лиц с тем же именем

Energy Efficient RRAM Spiking Neural Network for Real Time Classification., , , , , , , и . ACM Great Lakes Symposium on VLSI, стр. 189-194. ACM, (2015)Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems., , , , и . DAC, стр. 33:1-33:6. ACM, (2017)A peripheral circuit reuse structure integrated with a retimed data flow for low power RRAM crossbar-based CNN., , , , , и . DATE, стр. 1057-1062. IEEE, (2018)Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method., , , , , , , и . ICCAD, стр. 69. ACM, (2018)Low power Convolutional Neural Networks on a chip., , , , , , и . ISCAS, стр. 129-132. IEEE, (2016)Computation-oriented fault-tolerance schemes for RRAM computing systems., , , , , , , , , и . ASP-DAC, стр. 794-799. IEEE, (2017)Spiking neural network with RRAM: can we use it for real-world application?, , , , , , и . DATE, стр. 860-865. ACM, (2015)PAI-FCNN: FPGA Based CNN Inference System., , , , , , , , , и 1 other автор(ы). FPGA, стр. 184. ACM, (2019)Ouroboros: An Inference Engine for Deep Learning Based TTS on Embedded Devices., , , , , , , и . Hot Chips Symposium, стр. 1-28. IEEE, (2019)MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems., , , , , , , , , и 3 other автор(ы). ACM Great Lakes Symposium on VLSI, стр. 83-88. ACM, (2020)