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ORCIDZhongzhi Luan
- > Home > Persons > Zhongzhi Luan
Publications
- 2024
[j37]Mingzhen Li, Yi Liu, Bangduo Chen, Hailong Yang, Zhongzhi Luan, Depei Qian:
Building a domain-specific compiler for emerging processors with a reusable approach. Sci. China Inf. Sci. 67(1) (2024)- [j34]Qingxiao Sun, Yi Liu, Hailong Yang, Zhonghui Jiang, Zhongzhi Luan, Depei Qian:
Adaptive Auto-Tuning Framework for Global Exploration of Stencil Optimization on GPUs. IEEE Trans. Parallel Distributed Syst. 35(1): 20-33 (2024) - [c129]Siyu Wu
, Hailong Yang, Xin You, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian:
PRoof: A Comprehensive Hierarchical Profiling Framework for Deep Neural Networks with Roofline Analysis. ICPP 2024: 822-832 - [c128]Kaige Zhang, Xiaoyan Liu, Hailong Yang, Tianyu Feng, Xinyu Yang, Yi Liu, Zhongzhi Luan, Depei Qian:
Jigsaw: Accelerating SpMM with Vector Sparsity on Sparse Tensor Core. ICPP 2024: 1124-1134 - [c126]Shaohan Huang, Yi Liu, Jiaxing Qi, Jing Shang, Zhiwen Xiao, Carol J. Fung, Zhihui Wu, Hailong Yang, Zhongzhi Luan, Depei Qian:
Gloss: Guiding Large Language Models to Answer Questions from System Logs. SANER 2024: 91-101 - [i17]Siqi Wang, Hailong Yang, Xuezhu Wang, Tongxuan Liu, Pengbo Wang, Xuning Liang, Kejie Ma, Tianyu Feng, Xin You, Yongjun Bao, Yi Liu, Zhongzhi Luan, Depei Qian:
Minions: Accelerating Large Language Model Inference with Adaptive and Collective Speculative Decoding. CoRR abs/2402.15678 (2024) - [i15]Yiqing Wang, Xiaoyan Liu, Hailong Yang, Xinyu Yang, Pengbo Wang, Yi Liu, Zhongzhi Luan, Depei Qian:
INSPIRIT: Optimizing Heterogeneous Task Scheduling through Adaptive Priority in Task-based Runtime Systems. CoRR abs/2404.03226 (2024) - 2023
- [j31]Hailong Yang, Yi Liu, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian:
Input-Aware Sparse Tensor Storage Format Selection for Optimizing MTTKRP. Computer 56(8): 4-7 (2023) - [j30]Xiaoyan Liu, Yi Liu, Bohong Yin, Hailong Yang, Zhongzhi Luan, Depei Qian:
swSpAMM: optimizing large-scale sparse approximate matrix multiplication on Sunway Taihulight. Frontiers Comput. Sci. 17(4): 174104 (2023) - [j29]Shaohan Huang, Yi Liu, Carol J. Fung, He Wang, Hailong Yang, Zhongzhi Luan:
Improving Log-Based Anomaly Detection by Pre-Training Hierarchical Transformers. IEEE Trans. Computers 72(9): 2656-2667 (2023) - [j28]Pengyu Mu, Yi Liu, Rui Wang, Guoxiang Liu, Zhonghao Sun, Hailong Yang, Zhongzhi Luan, Depei Qian:
HAOTuner: A Hardware Adaptive Operator Auto-Tuner for Dynamic Shape Tensor Compilers. IEEE Trans. Computers 72(11): 3178-3190 (2023) - [c118]Mingzhen Li, Hailong Yang, Shanjun Zhang, Fengwei Yu, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian:
Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs. ICPP 2023: 786-796 - [c115]Mingzhen Li, Wencong Xiao, Hailong Yang, Biao Sun, Hanyu Zhao, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Wei Lin, Depei Qian:
EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs. SC 2023: 55:1-55:14 - [i13]Shaohan Huang, Yi Liu, Carol J. Fung, Jiaxing Qi, Hailong Yang, Zhongzhi Luan:
LogQA: Question Answering in Unstructured Logs. CoRR abs/2303.11715 (2023) - 2022
- [j24]Qingxiao Sun, Yi Liu, Hailong Yang, Ming Dun, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian:
Input-Aware Sparse Tensor Storage Format Selection for Optimizing MTTKRP. IEEE Trans. Computers 71(8): 1968-1981 (2022) - [j23]Xiaoyan Liu, Yi Liu, Hailong Yang, Ming Dun, Bohong Yin, Zhongzhi Luan, Depei Qian:
Accelerating approximate matrix multiplication for near-sparse matrices on GPUs. J. Supercomput. 78(9): 11464-11491 (2022) - [c113]Shaohan Huang, Yi Liu, Carol J. Fung, Hailong Yang, Zhongzhi Luan:
Black-box Attacks to Log-based Anomaly Detection. CNSM 2022: 310-316 - [c110]Xiaoyan Liu, Yi Liu, Hailong Yang, Jianjin Liao, Mingzhen Li, Zhongzhi Luan, Depei Qian:
Toward accelerated stencil computation by adapting tensor core unit on GPU. ICS 2022: 28:1-28:12 - [c109]Qingxiao Sun, Yi Liu, Hailong Yang, Zhonghui Jiang, Zhongzhi Luan, Depei Qian:
StencilMART: Predicting Optimization Selection for Stencil Computations across GPUs. IPDPS 2022: 875-885 - [c106]Qingxiao Sun, Yi Liu, Hailong Yang, Ruizhe Zhang, Ming Dun, Mingzhen Li, Xiaoyan Liu, Wencong Xiao, Yong Li, Zhongzhi Luan, Depei Qian:
CoGNN: Efficient Scheduling for Concurrent GNN Training on GPUs. SC 2022: 39:1-39:15 - [i10]Shanjun Zhang, Mingzhen Li, Hailong Yang, Yi Liu, Zhongzhi Luan, Depei Qian:
FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity. CoRR abs/2201.00194 (2022) - [i9]Mingzhen Li, Wencong Xiao, Biao Sun, Hanyu Zhao, Hailong Yang, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Depei Qian, Wei Lin:
EasyScale: Accuracy-consistent Elastic Training for Deep Learning. CoRR abs/2208.14228 (2022) - 2021
- [j19]Mingzhen Li, Yi Liu, Xiaoyan Liu, Qingxiao Sun, Xin You, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian:
The Deep Learning Compiler: A Comprehensive Survey. IEEE Trans. Parallel Distributed Syst. 32(3): 708-727 (2021) - [c104]Qingxiao Sun, Yi Liu, Hailong Yang, Zhonghui Jiang, Xiaoyan Liu, Ming Dun, Zhongzhi Luan, Depei Qian:
csTuner: Scalable Auto-tuning Framework for Complex Stencil Computation on GPUs. CLUSTER 2021: 192-203 - [c102]Mingzhen Li, Yi Liu, Hailong Yang, Yongmin Hu, Qingxiao Sun, Bangduo Chen, Xin You, Xiaoyan Liu, Zhongzhi Luan, Depei Qian:
Automatic Code Generation and Optimization of Large-scale Stencil Computation on Many-core Processors. ICPP 2021: 34:1-34:12 - [i7]Xiaoyan Liu, Yi Liu, Ming Dun, Bohong Yin, Hailong Yang, Zhongzhi Luan, Depei Qian:
Accelerating Sparse Approximate Matrix Multiplication on GPUs. CoRR abs/2103.13042 (2021) - 2020
- [j18]Shaohan Huang, Yi Liu, Carol J. Fung, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan:
HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log. IEEE Trans. Netw. Serv. Manag. 17(4): 2064-2076 (2020) - [j15]Mingzhen Li, Yi Liu, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian:
Accelerating Sparse Cholesky Factorization on Sunway Manycore Architecture. IEEE Trans. Parallel Distributed Syst. 31(7): 1636-1650 (2020) - [c98]Shaohan Huang, Yi Liu, Carol J. Fung, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan:
Transfer Log-based Anomaly Detection with Pseudo Labels. CNSM 2020: 1-5 - [c96]Shaohan Huang, Yi Liu, Carol J. Fung, Wanhe An, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan:
A Gated Few-shot Learning Model For Anomaly Detection. ICOIN 2020: 505-509 - [c94]Shaohan Huang, Yi Liu, Carol J. Fung, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan:
Paddy: An Event Log Parsing Approach using Dynamic Dictionary. NOMS 2020: 1-8 - [c93]Qingxiao Sun, Yi Liu, Ming Dun, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian:
SpTFS: sparse tensor format selection for MTTKRP via deep learning. SC 2020: 18 - [i5]Mingzhen Li, Yi Liu, Xiaoyan Liu, Qingxiao Sun, Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian:
The Deep Learning Compiler: A Comprehensive Survey. CoRR abs/2002.03794 (2020) - 2019
- [c87]Qingxiao Sun, Yi Liu, Hailong Yang, Zhongzhi Luan, Depei Qian:
SMQoS: Improving Utilization and Energy Efficiency with QoS Awareness on GPUs. CLUSTER 2019: 1-5 - [c80]Chongyang Xu, Zhongzhi Luan, Lan Gao, Rui Wang, Han Zhang, Lianyi Zhang, Yi Liu, Depei Qian:
Multiple Algorithms Against Multiple Hardware Architectures: Data-Driven Exploration on Deep Convolution Neural Network. NPC 2019: 371-375 - [c78]Xin You, Hailong Yang, Zhongzhi Luan, Yi Liu, Depei Qian:
Performance Evaluation and Analysis of Linear Algebra Kernels in the Prototype Tianhe-3 Cluster. SCFA 2019: 86-105 - 2018
- [c75]Mingzhen Li, Yi Liu, Hailong Yang, Zhongzhi Luan, Depei Qian:
Multi-role SpTRSV on Sunway Many-Core Architecture. HPCC/SmartCity/DSS 2018: 594-601 - 2016
- [j6]Xian Li, Rui Wang, Zhongzhi Luan, Yi Liu, Depei Qian:
Coordinating workload balancing and power switching in renewable energy powered data center. Frontiers Comput. Sci. 10(3): 574-587 (2016)
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