Yandong Luo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Inference Engine

Exploration Strategy

Top Venues

IEEE Trans. Computers

ACM Trans. Design Autom. Electr. Syst.

Publications

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) (2024)
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) (2024)
Wantong Li, Yandong Luo, Shimeng Yu
RAWAtten: Reconfigurable Accelerator for Window Attention in Hierarchical Vision Transformers. DATE (2023)
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)
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) (2022)
Yandong Luo, Panni Wang, Shimeng Yu
Accelerating On-Chip Training with Ferroelectric-Based Hybrid Precision Synapse. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
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) (2022)
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) (2022)
Yandong Luo, Yuan-Chun Luo, Shimeng Yu
A FeRAM based Volatile/Non-volatile Dual-mode Buffer Memory for Deep Neural Network Training. DATE (2021)
Yandong Luo, Shimeng Yu
AILC: Accelerate On-Chip Incremental Learning With Compute-in-Memory Technology. IEEE Trans. Computers 70 (8) (2021)
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)
Anni Lu, Xiaochen Peng, Yandong Luo, Shanshi Huang, Shimeng Yu
A Runtime Reconfigurable Design of Compute-in-Memory based Hardware Accelerator. DATE (2021)
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) (2021)
Shanshi Huang, Xiaochen Peng, Hongwu Jiang, Yandong Luo, Shimeng Yu
Exploiting Process Variations to Protect Machine Learning Inference Engine from Chip Cloning. ISCAS (2021)
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) (2021)
Yandong Luo, Jianwen Guo, Zhenpeng Lao, Shaohui Zhang, Xiaohui Yan
Swarm Robot Exploration Strategy for Path Formation Tasks Inspired by Physarum polycephalum. Complex. 2021 (2021)
Yandong Luo, Shimeng Yu
Benchmark Non-volatile and Volatile Memory Based Hybrid Precision Synapses for In-situ Deep Neural Network Training. ASP-DAC (2020)
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)
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) (2020)
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) (2020)
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)
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) (2019)
Yandong Luo, Xiaochen Peng, Shimeng Yu
MLP+NeuroSimV3.0: Improving On-chip Learning Performance with Device to Algorithm Optimizations. ICONS (2019)
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)