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MRIMA: An MRAM-Based In-Memory Accelerator.

, , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (5): 1123-1136 (2020)

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DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack., , , and . CoRR, (2023)AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration., , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 13 (1): 225-236 (March 2023)A Novel Efficient Reversible Full Adder-Subtractor in QCA Nanotechnology., , and . CoRR, (2016)PISA: A Non-Volatile Processing-in-Sensor Accelerator for Imaging Systems., , , and . IEEE Trans. Emerg. Top. Comput., 11 (4): 962-972 (October 2023)CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator., , , and . DAC, page 105:1-105:6. ACM, (2018)IMC: energy-efficient in-memory convolver for accelerating binarized deep neural network., and . NCS, page 3:1-3:8. ACM, (2017)MERAM: Non-Volatile Cache Memory Based on Magneto-Electric FETs., , , , and . CoRR, (2020)GraphS: A Graph Processing Accelerator Leveraging SOT-MRAM., , , and . DATE, page 378-383. IEEE, (2019)Towards Approximate Computing with Quantum-Dot Cellular Automata., , , , and . J. Low Power Electron., 13 (1): 29-35 (2017)Leveraging spintronic devices for ultra-low power in-memory computing: Logic and neural network., , and . MWSCAS, page 1109-1112. IEEE, (2017)