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Jiangsu Du
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2020 – today
- 2024
- [j9]Jiangsu Du, Dong-Sheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu:
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems. J. Comput. Sci. Technol. 39(2): 384-400 (2024) - [j8]Rui Tian
, Jiazhi Jiang
Sophisticated Orchestrating Concurrent DLRM Training on CPU/GPU Platform. IEEE Trans. Parallel Distributed Syst. 35(11): 2177-2192 (2024) - [c12]Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Jiangsu Du, Yutong Lu:
Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference. DATE 2024: 1-6 - [c11]Jiazhi Jiang, Hongbin Zhang, Deyin Liu, Jiangsu Du, Xiaojiao Yao, Jinhui Wei, Pin Chen, Dan Huang, Yutong Lu:
Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters. Euro-Par (1) 2024: 313-328 - [c10]Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen:
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference. INFOCOM 2024: 1001-1010 - [c9]Jiangsu Du
Liger: Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference. PPoPP 2024: 42-54 - [i4]Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen:
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference. CoRR abs/2405.17245 (2024) - 2023
- [j7]Jiang Zheng, Jiazhi Jiang, Jiangsu Du, Dan Huang, Yutong Lu:
Optimizing massively parallel sparse matrix computing on ARM many-core processor. Parallel Comput. 117: 103035 (2023) - [j6]Jiazhi Jiang
Hierarchical Model Parallelism for Optimizing Inference on Many-core Processor via Decoupled 3D-CNN Structure. ACM Trans. Archit. Code Optim. 20(3): 42:1-42:21 (2023) - [j5]Jiangsu Du
Improving Computation and Memory Efficiency for Real-world Transformer Inference on GPUs. ACM Trans. Archit. Code Optim. 20(4): 46:1-46:22 (2023) - [j4]Jiazhi Jiang
Full-Stack Optimizing Transformer Inference on ARM Many-Core CPU. IEEE Trans. Parallel Distributed Syst. 34(7): 2221-2235 (2023) - [c8]Wencheng Shi, Nan Hu, Jiangsu Du, Dan Huang, Yutong Lu:
Enhancing Multi-physics Coupling on ARM Many-Core Cluster. APPT 2023: 3-18 - [c7]Jiazhi Jiang, Zijiang Huang, Dan Huang, Jiangsu Du, Yutong Lu:
Accelerating Inference of 3D-CNN on ARMMany-core CPU via Hierarchical Model Partition. DATE 2023: 1-2 - [c6]Jiazhi Jiang, Rui Tian
MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform. ICCD 2023: 366-374 - [i3]Shenggan Cheng
ATP: Adaptive Tensor Parallelism for Foundation Models. CoRR abs/2301.08658 (2023) - 2022
- [j3]Jiangsu Du
Enhancing Distributed In-Situ CNN Inference in the Internet of Things. IEEE Internet Things J. 9(17): 15511-15524 (2022) - [j2]Jiazhi Jiang, Dan Huang
Optimizing small channel 3D convolution on GPU with tensor core. Parallel Comput. 113: 102954 (2022) - [c5]Jiazhi Jiang, Jiangsu Du, Dan Huang, Dongsheng Li, Jiang Zheng, Yutong Lu:
Characterizing and Optimizing Transformer Inference on ARM Many-core Processor. ICPP 2022: 20:1-20:11 - [c4]Jiangsu Du, Jiazhi Jiang, Yang You, Dan Huang, Yutong Lu:
Handling heavy-tailed input of transformer inference on GPUs. ICS 2022: 38:1-38:11 - [i2]Jiangsu Du, Ziming Liu, Jiarui Fang, Shenggui Li, Yongbin Li, Yutong Lu, Yang You:
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models. CoRR abs/2209.02341 (2022) - [i1]Jiangsu Du, Dongsheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu:
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems. CoRR abs/2212.03410 (2022) - 2021
- [j1]Jiangsu Du, Xin Zhu, Minghua Shen
Model Parallelism Optimization for Distributed Inference Via Decoupled CNN Structure. IEEE Trans. Parallel Distributed Syst. 32(7): 1665-1676 (2021) - 2020
- [c3]Jiangsu Du, Minghua Shen, Yunfei Du:
A Distributed In-Situ CNN Inference System for IoT Applications. ICCD 2020: 279-287
2010 – 2019
- 2019
- [c2]Hongbo Li, Jiangsu Du, Yunfei Du, Zhiguang Chen, Nong Xiao:
P-SOBI: A Parallel Implementation for Second Order Blind Identification Algorithm. HPCC/SmartCity/DSS 2019: 1414-1420 - [c1]Jiangsu Du, Xin Zhu, Nan Hu, Yunfei Du:
Understanding the Resource Demand Differences of Deep Neural Network Training. ICA3PP (2) 2019: 673-681
Coauthor Index
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