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RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures.

, , , and . ASP-DAC, page 181-186. IEEE, (2020)

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Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems., , , and . ICASSP, page 1549-1552. IEEE, (2020)Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor Converters., , , , , and . ISVLSI, page 18-23. IEEE, (2020)Write Termination Circuits for RRAM: A Holistic Approach From Technology to Application Considerations., , , , , , , , , and . IEEE Access, (2020)ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning., , , , , , , , and . IEEE Trans. Computers, 72 (7): 1985-1998 (July 2023)SneakPath compensation circuit for programming and read operations in RRAM-based CrossPoint architectures., , , , and . NVMTS, page 1-4. IEEE, (2015)RRAMSpec: A Design Space Exploration Framework for High Density Resistive RAM., , , , , , , and . SAMOS, volume 11733 of Lecture Notes in Computer Science, page 34-47. Springer, (2019)Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference., , , , and . CoRR, (2022)Thermal and Voltage-Aware Performance Management of 3-D MPSoCs With Flow Cell Arrays and Integrated SC Converters., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (1): 2-15 (2023)Functionality Enhanced Memories for Edge-AI Embedded Systems., , , , and . NVMTS, page 1-4. IEEE, (2019)Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge., , , , and . ACM Great Lakes Symposium on VLSI, page 249-254. ACM, (2022)