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Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge.

, , , , and . ACM Great Lakes Symposium on VLSI, page 249-254. ACM, (2022)

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An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs., , , , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 32 (6): 1018-1031 (June 2024)Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing., , , , and . DATE, page 1881-1886. IEEE, (2021)E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning., , , and . CoRR, (2024)Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference., , , , and . CoRR, (2022)A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs., , , , and . ISVLSI, page 164-169. IEEE, (2021)Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge., , , , and . ACM Great Lakes Symposium on VLSI, page 249-254. ACM, (2022)An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs., , , and . COINS, page 1-6. IEEE, (2022)MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems., and . CoRR, (2024)DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD., , , , , , and . ISVLSI, page 204-209. IEEE, (2024)