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Yuhao Ju
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2020 – today
- 2024
- [c6]Yuhao Ju, Ganqi Xu, Jie Gu:
20.4 A 28nm Physics Computing Unit Supporting Emerging Physics-Informed Neural Network and Finite Element Method for Real-Time Scientific Computing on Edge Devices. ISSCC 2024: 366-368 - 2023
- [j2]Yuhao Ju
, Jie Gu
:
A Systolic Neural CPU Processor Combining Deep Learning and General-Purpose Computing With Enhanced Data Locality and End-to-End Performance. IEEE J. Solid State Circuits 58(1): 216-226 (2023) - [c5]Yuhao Ju, Yijie Wei, Xi Chen, Jie Gu:
A General-Purpose Compute-in-Memory Processor Combining CPU and Deep Learning with Elevated CPU Efficiency and Enhanced Data Locality. VLSI Technology and Circuits 2023: 1-2 - 2022
- [c4]Yuhao Ju, Shiyu Guo, Zixuan Liu, Tianyu Jia, Jie Gu:
A Differentiable Neural Computer for Logic Reasoning with Scalable Near-Memory Computing and Sparsity Based Enhancement. ESSCIRC 2022: 93-96 - [c3]Yuhao Ju, Jie Gu:
A 65nm Systolic Neural CPU Processor for Combined Deep Learning and General-Purpose Computing with 95% PE Utilization, High Data Locality and Enhanced End-to-End Performance. ISSCC 2022: 1-3 - 2021
- [j1]Tianyu Jia
, Yuhao Ju, Jie Gu
:
A Dynamic Timing Enhanced DNN Accelerator With Compute-Adaptive Elastic Clock Chain Technique. IEEE J. Solid State Circuits 56(1): 55-65 (2021) - 2020
- [c2]Tianyu Jia, Yuhao Ju, Jie Gu:
31.3 A Compute-Adaptive Elastic Clock-Chain Technique with Dynamic Timing Enhancement for 2D PE-Array-Based Accelerators. ISSCC 2020: 482-484 - [c1]Tianyu Jia, Yuhao Ju, Russ Joseph, Jie Gu:
NCPU: An Embedded Neural CPU Architecture on Resource-Constrained Low Power Devices for Real-time End-to-End Performance. MICRO 2020: 1097-1109
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