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ORCIDZihan Liu 0002
Person information
- affiliation: Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
Other persons with the same name
- Zihan Liu (aka: Zi-Han Liu) — disambiguation page
- Zihan Liu 0001 (aka: Zihan (Johan) Liu) — Nvidia, Santa Clara, CA, USA (and 1 more)
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2020 – today
- 2024
[c7]Cong Guo
, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang:
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. ASPLOS (2) 2024: 450-466- [c6]Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. ASPLOS (2) 2024: 549-565 - [c5]Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu:
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. ISCA 2024: 1293-1308 - [i11]Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang:
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. CoRR abs/2401.08156 (2024) - [i10]Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu:
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. CoRR abs/2404.11852 (2024) - [i9]Jiale Xu, Rui Zhang, Cong Guo, Weiming Hu, Zihan Liu, Feiyang Wu, Yu Feng, Shixuan Sun, Changxu Shao, Yuhong Guo, Junping Zhao, Ke Zhang, Minyi Guo, Jingwen Leng:
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR abs/2407.15309 (2024) - [i8]Yu Feng, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Han Zhao, Xiaofeng Hou, Jieru Zhao, Yuhao Zhu:
Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture. CoRR abs/2408.06608 (2024) - [i7]Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Wenxi Zhu, Minwen Deng:
Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization. CoRR abs/2409.01075 (2024) - 2023
- [c4]Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo:
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CF 2023: 52-62 - [i6]Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo:
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CoRR abs/2305.17408 (2023) - [i5]Xiaoxiang Shi, Chao Li, Zijun Li, Zihan Liu, Dianmo Sheng, Quan Chen, Jingwen Leng, Minyi Guo:
DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service. CoRR abs/2306.11043 (2023) - [i4]Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. CoRR abs/2312.01712 (2023) - 2022
- [c3]Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo:
VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling. ASPLOS 2022: 388-401 - [c2]Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO 2022: 1414-1433 - [i3]Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo:
VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services via Adaptive Compilation and Scheduling. CoRR abs/2201.06212 (2022) - [i2]Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR abs/2208.14286 (2022) - 2020
- [j1]Zihan Liu, Jingwen Leng, Guandong Lu, Chenhui Wang, Quan Chen, Minyi Guo:
Survey and design of paleozoic: a high-performance compiler tool chain for deep learning inference accelerator. CCF Trans. High Perform. Comput. 2(4): 332-347 (2020) - [c1]Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo:
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. ISPA/BDCloud/SocialCom/SustainCom 2020: 118-127 - [i1]Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo:
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. CoRR abs/2011.05630 (2020)
Coauthor Index
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