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ORCIDYandong Luo
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2020 – today
- 2024
[b1]Yandong Luo:
Energy-efficient On-chip Deep Neural Network (DNN) Inference and Training with Emerging Non-volatile Memory Technologies. Georgia Institute of Technology, Atlanta, GA, USA, 2024- [j14]Yandong Luo
, Johan Vanderhaegen, Oleg Rybakov, Martin Kraemer, Niel Warren, Shimeng Yu:
A FeFET-Based ADC Offset Robust Compute-In-Memory Architecture for Streaming Keyword Spotting (KWS). IEEE Trans. Emerg. Top. Comput. 12(1): 23-34 (2024) - [j13]Yandong Luo, Shimeng Yu:
H3D-Transformer: A Heterogeneous 3D (H3D) Computing Platform for Transformer Model Acceleration on Edge Devices. ACM Trans. Design Autom. Electr. Syst. 29(3): 47:1-47:19 (2024) - [j12]Yuan-Chun Luo, Anni Lu, Yandong Luo, Sou-Chi Chang, Uygar Avci, Shimeng Yu:
Endurance-Aware Compiler for 3-D Stackable FeRAM as Global Buffer in TPU-Like Architecture. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1696-1703 (2024) - [c12]Ankit Kaul, Madison Manley, James Read, Yandong Luo, Xiaochen Peng, Shimeng Yu, Muhannad S. Bakir:
Co-Optimization for Robust Power Delivery Design in 3D-Heterogeneous Integration of Compute In-Memory Accelerators. VLSI Technology and Circuits 2024: 1-2 - 2023
- [c11]Wantong Li, Yandong Luo, Shimeng Yu:
RAWAtten: Reconfigurable Accelerator for Window Attention in Hierarchical Vision Transformers. DATE 2023: 1-6 - 2022
- [j11]Yandong Luo, Sourav Dutta, Ankit Kaul, Sung Kyu Lim, Muhannad S. Bakir, Suman Datta, Shimeng Yu:
A Compute-in-Memory Hardware Accelerator Design With Back-End-of-Line (BEOL) Transistor Based Reconfigurable Interconnect. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(2): 445-457 (2022) - [j10]Yandong Luo, Panni Wang, Shimeng Yu:
Accelerating On-Chip Training with Ferroelectric-Based Hybrid Precision Synapse. ACM J. Emerg. Technol. Comput. Syst. 18(2): 35:1-35:20 (2022) - [j9]Yandong Luo, Yuan-Chun Luo, Shimeng Yu:
A Ferroelectric-Based Volatile/Non-Volatile Dual-Mode Buffer Memory for Deep Neural Network Accelerators. IEEE Trans. Computers 71(9): 2088-2101 (2022) - [j8]Saurabh Dash, Yandong Luo, Anni Lu, Shimeng Yu, Saibal Mukhopadhyay:
Robust Processing-In-Memory With Multibit ReRAM Using Hessian-Driven Mixed-Precision Computation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1006-1019 (2022) - [c10]Yandong Luo, Piyush Kumar, Yu-Ching Liao, William Hwang, Fen Xue, Wilman Tsai, Shan X. Wang, Azad Naeemi, Shimeng Yu:
Performance Benchmarking of Spin-Orbit Torque Magnetic RAM (SOT-MRAM) for Deep Neural Network (DNN) Accelerators. IMW 2022: 1-4 - 2021
- [j7]Yandong Luo, Jianwen Guo, Zhenpeng Lao, Shaohui Zhang, Xiaohui Yan:
Swarm Robot Exploration Strategy for Path Formation Tasks Inspired by Physarum polycephalum. Complex. 2021: 6698421:1-6698421:17 (2021) - [j6]Yandong Luo, Shimeng Yu:
AILC: Accelerate On-Chip Incremental Learning With Compute-in-Memory Technology. IEEE Trans. Computers 70(8): 1225-1238 (2021) - [j5]Shimeng Yu, Wonbo Shim, Xiaochen Peng, Yandong Luo:
RRAM for Compute-in-Memory: From Inference to Training. IEEE Trans. Circuits Syst. I Regul. Pap. 68(7): 2753-2765 (2021) - [j4]Anni Lu, Xiaochen Peng, Yandong Luo, Shanshi Huang, Shimeng Yu:
A Runtime Reconfigurable Design of Compute-in-Memory-Based Hardware Accelerator for Deep Learning Inference. ACM Trans. Design Autom. Electr. Syst. 26(6): 45:1-45:18 (2021) - [c9]Ankit Kaul, Yandong Luo, Xiaochen Peng, Shimeng Yu, Muhannad S. Bakir:
Thermal Reliability Considerations of Resistive Synaptic Devices for 3D CIM System Performance. 3DIC 2021: 1-5 - [c8]Anni Lu, Xiaochen Peng, Yandong Luo, Shanshi Huang, Shimeng Yu:
A Runtime Reconfigurable Design of Compute-in-Memory based Hardware Accelerator. DATE 2021: 932-937 - [c7]Yandong Luo, Yuan-Chun Luo, Shimeng Yu:
A FeRAM based Volatile/Non-volatile Dual-mode Buffer Memory for Deep Neural Network Training. DATE 2021: 1871-1876 - [c6]Shanshi Huang, Xiaochen Peng, Hongwu Jiang, Yandong Luo, Shimeng Yu:
Exploiting Process Variations to Protect Machine Learning Inference Engine from Chip Cloning. ISCAS 2021: 1-5 - 2020
- [j3]Yandong Luo, Shimeng Yu:
Accelerating Deep Neural Network In-Situ Training With Non-Volatile and Volatile Memory Based Hybrid Precision Synapses. IEEE Trans. Computers 69(8): 1113-1127 (2020) - [j2]Anni Lu, Xiaochen Peng, Yandong Luo, Shimeng Yu:
Benchmark of the Compute-in-Memory-Based DNN Accelerator With Area Constraint. IEEE Trans. Very Large Scale Integr. Syst. 28(9): 1945-1952 (2020) - [c5]Yandong Luo, Shimeng Yu:
Benchmark Non-volatile and Volatile Memory Based Hybrid Precision Synapses for In-situ Deep Neural Network Training. ASP-DAC 2020: 422-427 - [c4]Wonbo Shim, Yandong Luo, Jae-sun Seo, Shimeng Yu:
Impact of Read Disturb on Multilevel RRAM based Inference Engine: Experiments and Model Prediction. IRPS 2020: 1-5 - [c3]Yandong Luo, Xiaochen Peng, Ryan Hatcher, Titash Rakshit, Jorge Kittl, Mark S. Rodder, Jae-Sun Seo, Shimeng Yu:
A Variation Robust Inference Engine Based on STT-MRAM with Parallel Read-Out. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [j1]Shihui Yin, Jae-sun Seo, Yulhwa Kim, Xu Han, Hugh J. Barnaby, Shimeng Yu, Yandong Luo, Wangxin He, Xiaoyu Sun, Jae-Joon Kim:
Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning. IEEE Micro 39(6): 54-63 (2019) - [c2]Yandong Luo, Xiaochen Peng, Shimeng Yu:
MLP+NeuroSimV3.0: Improving On-chip Learning Performance with Device to Algorithm Optimizations. ICONS 2019: 1:1-1:7 - 2018
- [c1]Yandong Luo, Jianwen Guo, Zhibin Zeng, Chengzhi Chen, Xiaoyan Li, Jiapeng Wu:
Robot Chain Based Self-organizing Search Method of Swarm Robotics. ICIC (1) 2018: 136-146
Coauthor Index
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last updated on 2024-10-18 19:33 CEST by the dblp team
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