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Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication.

, , , , , , , , , and . J. Comput. Sci. Technol., 31 (1): 3-19 (2016)

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Fault tolerance in neuromorphic computing systems., , , and . ASP-DAC, page 216-223. ACM, (2019)PAI-FCNN: FPGA Based Inference System for Complex CNN Models., , , , , , , , , and 1 other author(s). ASAP, page 107-114. IEEE, (2019)Fault Tolerance for RRAM-Based Matrix Operations., , , and . ITC, page 1-10. IEEE, (2018)MNSIM: Simulation platform for memristor-based neuromorphic computing system., , , , , , , , , and 2 other author(s). DATE, page 469-474. IEEE, (2016)Spiking neural network with RRAM: can we use it for real-world application?, , , , , , and . DATE, page 860-865. ACM, (2015)TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks., , , , , , and . IEEE Trans. on CAD of Integrated Circuits and Systems, 38 (5): 834-847 (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)PAI-FCNN: FPGA Based CNN Inference System., , , , , , , , , and 1 other author(s). FPGA, page 184. ACM, (2019)Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method., , , , , , , and . ICCAD, page 69. ACM, (2018)Computation-oriented fault-tolerance schemes for RRAM computing systems., , , , , , , , , and . ASP-DAC, page 794-799. IEEE, (2017)