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Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices., , and . CoRR, (2017)Training LSTM Networks with Resistive Cross-Point Devices., , and . CoRR, (2018)Training large-scale ANNs on simulated resistive crossbar arrays., , and . CoRR, (2019)Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation., , , , , , , , , and 5 other author(s). CoRR, (2024)Emerging Neural Workloads and Their Impact on Hardware., , , , , , , , , and 5 other author(s). DATE, page 1462-1471. IEEE, (2020)Fast offset corrected in-memory training., , , and . CoRR, (2023)Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices., and . CoRR, (2016)Design and Characterization of Superconducting Nanowire-Based Processors for Acceleration of Deep Neural Network Training., , , , and . CoRR, (2019)The Next Generation of Deep Learning Hardware: Analog Computing., , and . Proc. IEEE, 107 (1): 108-122 (2019)Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning., , , , , , and . HPEC, page 1-7. IEEE, (2023)