Dongxu Lyu

22 papers A* 7A 3Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive Two-Range Quantization and Hardware Co-Design for Large Language Model Acceleration.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Siqi Cai, Gang Wang, Wenjie Li, Dongxu Lyu, Guanghui He
2025 J jnl
An Efficient Multi-View Cross-Attention Accelerator for Vision-Centric 3D Perception in Autonomous Driving.
IEEE Trans. Circuits Syst. I Regul. Pap.
Dongxu Lyu, Zhenyu Li, Yansong Xu, Gang Wang, Wenjie Li, Yuzhou Chen, Liyan Chen, Weifeng He, Guanghui He
2025 A* conf
AsyncDIMM: Achieving Asynchronous Execution in DIMM-Based Near-Memory Processing.
HPCA
Liyan Chen, Dongxu Lyu, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing
2025 A* conf
AttenPIM: Accelerating LLM Attention with Dual-mode GEMV in Processing-in-Memory.
DAC
Liyan Chen, Dongxu Lyu, Zhenyu Li, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing
2025 A* conf
BitPattern: Enabling Efficient Bit-Serial Acceleration of Deep Neural Networks through Bit-Pattern Pruning.
DAC
Gang Wang, Siqi Cai, Zhenyu Li, Wenjie Li, Dongxu Lyu, Yanan Sun, Jianfei Jiang, Guanghui He
2025 J jnl
Bridge-NDP: Efficient Communication-Computation Overlap in Near Data Processing System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Liyan Chen, Pengyu Liu, Dongxu Lyu, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing
2025 J jnl
Efficient Hardware Architecture Design for Rotary Position Embedding of Large Language Models.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Wenjie Li, Gang Wang, Dongxu Lyu, Ningyi Xu, Guanghui He
2025 A* conf
FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE.
ISCA
Haomin Li, Fangxin Liu, Yichi Chen, Zongwu Wang, Shiyuan Huang, Ning Yang, Dongxu Lyu, Li Jiang
2025 A conf
HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing.
DATE
Fangxin Liu, Haomin Li, Zongwu Wang, Dongxu Lyu, Li Jiang
2025 A* conf
KVO-LLM: Boosting Long-Context Generation Throughput for Batched LLM Inference.
DAC
Zhenyu Li, Dongxu Lyu, Gang Wang, Yuzhou Chen, Liyan Chen, Wenjie Li, Jianfei Jiang, Yanan Sun, Guanghui He
2025 J jnl
Neural Rendering Acceleration With Deferred Neural Decoding and Voxel-Centric Data Flow.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yuzhou Chen, Zhenyu Li, Dongxu Lyu, Yansong Xu, Guanghui He
2025 J jnl
OFQ-LLM: Outlier-Flexing Quantization for Efficient Low-Bit Large Language Model Acceleration.
IEEE Trans. Circuits Syst. I Regul. Pap.
Gang Wang, Siqi Cai, Wenjie Li, Dongxu Lyu, Guanghui He
2025 A conf
TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism.
DATE
Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang
2024 J jnl
A Broad-Spectrum and High-Throughput Compression Engine for Neural Network Processors.
IEEE Trans. Circuits Syst. II Express Briefs
Yuzhou Chen, Jinming Zhang, Dongxu Lyu, Zhenyu Li, Guanghui He
2024 J jnl
BSViT: A Bit-Serial Vision Transformer Accelerator Exploiting Dynamic Patch and Weight Bit-Group Quantization.
IEEE Trans. Circuits Syst. I Regul. Pap.
Gang Wang, Siqi Cai, Wenjie Li, Dongxu Lyu, Guanghui He
2024 A* conf
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing.
DAC
Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He
2024 J jnl
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing.
CoRR
Yansong Xu, Dongxu Lyu, Zhenyu Li, Zilong Wang, Yuzhou Chen, Gang Wang, Zhican Wang, Haomin Li, Guanghui He
2024 J jnl
Hardware-oriented algorithms for softmax and layer normalization of large language models.
Sci. China Inf. Sci.
Wenjie Li, Dongxu Lyu, Gang Wang, Aokun Hu, Ningyi Xu, Guanghui He
2024 J jnl
M2M: A Fine-Grained Mapping Framework to Accelerate Multiple DNNs on a Multi-Chiplet Architecture.
IEEE Trans. Very Large Scale Integr. Syst.
Jinming Zhang, Xuyan Wang, Yaoyao Ye, Dongxu Lyu, Guojie Xiong, Ningyi Xu, Yong Lian, Guanghui He
2023 A* conf
FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling.
DAC
Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Ningyi Xu, Guanghui He
2023 A conf
SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing.
ICCAD
Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He
2023 J jnl
SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing.
CoRR
Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He