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Disambiguation of "Tsai, Hsinyu"

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Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers.

, , , , , , , , , , , , , , , and . ISCAS, page 3319-3323. IEEE, (2022)

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Wei-Ding Tsai

Wei-Ding Tsai

Schi-chien Tsai

Yuan-feen Tsai

Ming-Cheng Tsai

 

Other publications of authors with the same name

Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique., , , , , , , , , and 1 other author(s). ICRC, page 1-8. IEEE, (2017)Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators., , , , , , , , , and 3 other author(s). CoRR, (2023)Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices., , , , , , , , , and 1 other author(s). Frontiers Comput. Neurosci., (2021)Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited)., , , , , , , , , and 15 other author(s). VLSI Technology and Circuits, page 1-2. IEEE, (2023)AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing., , , , , , , , , and 2 other author(s). EDGE, page 233-244. IEEE, (2023)Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)., , , , , , , , , and 11 other author(s). IRPS, page 1-10. IEEE, (2023)AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed., , , , , , , , , and . IBM J. Res. Dev., 63 (6): 8:1-8:14 (2019)Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers., , , , , , , , , and 6 other author(s). ISCAS, page 3319-3323. IEEE, (2022)Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited)., , , , , , , , , and 2 other author(s). ISCAS, page 1-5. IEEE, (2021)Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation., , , , , , , , , and 21 other author(s). IRPS, page 1-6. IEEE, (2021)