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FlutPIM: : A Look-up Table-based Processing in Memory Architecture with Floating-point Computation Support for Deep Learning Applications.

, , , , и . ACM Great Lakes Symposium on VLSI, стр. 207-211. ACM, (2023)

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Accelerating Adversarial Attack using Process-in-Memory Architecture., , , , , , , и . MSN, стр. 325-330. IEEE, (2022)Heterogeneous Multi-Functional Look-Up-Table-based Processing-in-Memory Architecture for Deep Learning Acceleration., , , и . ISQED, стр. 1-8. IEEE, (2023)A Review of In-Memory Computing Architectures for Machine Learning Applications., , , , и . ACM Great Lakes Symposium on VLSI, стр. 89-94. ACM, (2020)Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications., , и . ACM Great Lakes Symposium on VLSI, стр. 633-638. ACM, (2024)Empowering Malware Detection Efficiency within Processing-in-Memory Architecture., , и . CoRR, (2024)POLAR: Performance-aware On-device Learning Capable Programmable Processing-in-Memory Architecture for Low-Power ML Applications., , , , и . DSD, стр. 889-898. IEEE, (2022)Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications., , и . CISS, стр. 1-6. IEEE, (2023)ReApprox-PIM: Reconfigurable Approximate Lookup-Table (LUT)-Based Processing-in-Memory (PIM) Machine Learning Accelerator., , , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 43 (8): 2288-2300 (августа 2024)uPIM: Performance-aware Online Learning Capable Processing-in-Memory., , , и . AICAS, стр. 1-4. IEEE, (2021)Processing-in-Memory Architecture with Precision-Scaling for Malware Detection., , и . VLSID, стр. 529-534. IEEE, (2024)