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SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.

F. Liu, W. Zhao, Z. He, Z. Wang, Y. Zhao, T. Yang, J. Feng, X. Liang, и L. Jiang. ICCD, стр. 417-424. IEEE, (2021)

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Chunmao He

Ning He

Hongxia He

Xiaowen He

Hucang He

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Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy.Z. He, B. Gong, и D. Fan. WACV, стр. 913-921. IEEE, (2019)Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack.A. Rakin, Z. He, и D. Fan. CoRR, (2018)MRIMA: An MRAM-Based In-Memory Accelerator.S. Angizi, Z. He, A. Awad, и D. Fan. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (5): 1123-1136 (2020)Efficient and Secure Deep Learning Inference System: A Software and Hardware Co-design Perspective.Z. He. Arizona State University, Tempe, USA, (2020)base-search.net (ftarizonastateun:item:62825).SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.F. Liu, W. Zhao, Z. He, Z. Wang, Y. Zhao, T. Yang, J. Feng, X. Liang, и L. Jiang. ICCD, стр. 417-424. IEEE, (2021)Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support.C. Nie, J. Lin, H. Hu, L. Jiang, X. Liang, и Z. He. ACM Great Lakes Symposium on VLSI, стр. 347-352. ACM, (2021)ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator.Z. Song, D. Li, Z. He, X. Liang, и L. Jiang. ISCAS, стр. 1-5. IEEE, (2021)Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System.C. Nie, Z. Wang, Q. Tang, C. Lv, L. Jiang, и Z. He. ISQED, стр. 1-6. IEEE, (2022)Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping.Z. He, J. Lin, R. Ewetz, J. Yuan, и D. Fan. DAC, стр. 57. ACM, (2019)PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks.A. Rakin, S. Angizi, Z. He, и D. Fan. ICCD, стр. 266-273. IEEE Computer Society, (2018)

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