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DAPPLE: A Pipelined Data Parallel Approach for Training Large Models., , , , , , , , , and 3 other author(s). CoRR, (2020)Fault Tolerance for RRAM-Based Matrix Operations., , , and . ITC, page 1-10. IEEE, (2018)Fault tolerance in neuromorphic computing systems., , , and . ASP-DAC, page 216-223. ACM, (2019)MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems., , , , , , , , , and 3 other author(s). ACM Great Lakes Symposium on VLSI, page 83-88. ACM, (2020)MNSIM: Simulation platform for memristor-based neuromorphic computing system., , , , , , , , , and 2 other author(s). DATE, page 469-474. IEEE, (2016)PAI-FCNN: FPGA Based Inference System for Complex CNN Models., , , , , , , , , and 1 other author(s). ASAP, page 107-114. IEEE, (2019)A peripheral circuit reuse structure integrated with a retimed data flow for low power RRAM crossbar-based CNN., , , , , and . DATE, page 1057-1062. IEEE, (2018)TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks., , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 38 (5): 834-847 (2019)Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method., , , , , , , and . ICCAD, page 69. ACM, (2018)PAI-FCNN: FPGA Based CNN Inference System., , , , , , , , , and 1 other author(s). FPGA, page 184. ACM, (2019)