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NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning., , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 37 (12): 3067-3080 (2018)XOR-CIM: Compute-In-Memory SRAM Architecture with Embedded XOR Encryption., , , , and . ICCAD, page 77:1-77:6. IEEE, (2020)Cryogenic Performance for Compute-in-Memory Based Deep Neural Network Accelerator., , , , , and . ISCAS, page 1-4. IEEE, (2021)Achieving High In Situ Training Accuracy and Energy Efficiency with Analog Non-Volatile Synaptic Devices., , , , and . ACM Trans. Design Autom. Electr. Syst., 27 (4): 37:1-37:19 (2022)Compute-in-Memory: From Device Innovation to 3D System Integration., , , , , , , and . ESSDERC, page 21-28. IEEE, (2021)Benchmark Framework for 2-D/3-D Integrated Compute-in-Memory Based Machine Learning Accelerator.. Georgia Institute of Technology, Atlanta, GA, USA, (2022)base-search.net (ftgeorgiatech:oai:smartech.gatech.edu:1853/66465).A Runtime Reconfigurable Design of Compute-in-Memory based Hardware Accelerator., , , , and . DATE, page 932-937. IEEE, (2021)CIMAT: a transpose SRAM-based compute-in-memory architecture for deep neural network on-chip training., , , and . MEMSYS, page 490-496. ACM, (2019)Design Guidelines of RRAM based Neural-Processing-Unit: A Joint Device-Circuit-Algorithm Analysis., , , , , , , and . DAC, page 140. ACM, (2019)Parallelizing SRAM arrays with customized bit-cell for binary neural networks., , , , , , , , and . DAC, page 21:1-21:6. ACM, (2018)