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IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration.

, , , , and . ACM Great Lakes Symposium on VLSI, page 253-258. ACM, (2021)

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ExploreBP: A Simulation Tool for Mobile Browser Energy Optimization., , , , , , and . SimuTools, volume 295 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 248-257. Springer, (2019)SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network., , , , , , , , and . CoRR, (2021)AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks., , , , and . CoRR, (2020)SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network., , , , , , , , and . ICCD, page 417-424. IEEE, (2021)Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators., , , , , , , , , and 1 other author(s). ISPA/BDCloud/SocialCom/SustainCom, page 137-144. IEEE, (2020)SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding., , , , , , and . HPCA, page 1029-1042. IEEE, (2024)CMC: Video Transformer Acceleration via CODEC Assisted Matrix Condensing., , , , and . ASPLOS (2), page 201-215. ACM, (2024)IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization., , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (12): 5313-5326 (2022)DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks., , , , and . ICASSP, page 2130-2134. IEEE, (2022)Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs., , , , , , and . ICCD, page 451-454. IEEE, (2022)