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SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing., , , , , , and . DATE, page 1598-1601. IEEE, (2020)Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse., , and . IEEE Trans. Computers, 69 (8): 1159-1171 (2020)Resistive CAM Acceleration for Tunable Approximate Computing., , , and . IEEE Trans. Emerg. Top. Comput., 7 (2): 271-280 (2019)RAPIDNN: In-Memory Deep Neural Network Acceleration Framework., , , , , and . CoRR, (2018)The Evaluation of Circuit Selection Methods on Tor., , and . CoRR, (2017)Forming Guard Sets using AS Relationships., , and . CoRR, (2017)Image Recognition Accelerator Design Using In-Memory Processing., , and . IEEE Micro, 39 (1): 17-23 (2019)Hardware-Software Co-design to Accelerate Neural Network Applications., , , and . ACM J. Emerg. Technol. Comput. Syst., 15 (2): 21:1-21:18 (2019)Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning., , , , and . CoRR, (2022)Towards Efficient Hyperdimensional Computing Using Photonics., , , , , , , , , and 1 other author(s). CoRR, (2023)