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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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Energy-efficient neuromorphic computation based on compound spin synapse with stochastic learning., , , , , , , and . ISCAS, page 1538-1541. IEEE, (2015)Technological exploration of RRAM crossbar array for matrix-vector multiplication., , , , , , and . ASP-DAC, page 106-111. IEEE, (2015)MNSIM: Simulation platform for memristor-based neuromorphic computing system., , , , , , , , , and 2 other author(s). DATE, page 469-474. IEEE, (2016)Towards Real-Time Object Detection on Embedded Systems., , , , , and . IEEE Trans. Emerging Topics Comput., 6 (3): 417-431 (2018)Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication., , , , , , , , , and . J. Comput. Sci. Technol., 31 (1): 3-19 (2016)Going Deeper with Embedded FPGA Platform for Convolutional Neural Network., , , , , , , , , and 2 other author(s). FPGA, page 26-35. ACM, (2016)Binary convolutional neural network on RRAM., , , , and . ASP-DAC, page 782-787. IEEE, (2017)Switched by input: power efficient structure for RRAM-based convolutional neural network., , , , , , , and . DAC, page 125:1-125:6. ACM, (2016)Training low bitwidth convolutional neural network on RRAM., , , , , , and . ASP-DAC, page 117-122. IEEE, (2018)Real-time object detection towards high power efficiency., , , , , , , , , and 1 other author(s). DATE, page 704-708. IEEE, (2018)