Jiangsu Du

According to our database, Jiangsu Du authored at least 34 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MixCache: Mixture-of-Cache for Video Diffusion Transformer Acceleration.

Yuanxin Wei, Lansong Diao, Bujiao Chen, Shenggan Cheng, Zhengping Qian, Wenyuan Yu, Nong Xiao, Wei Lin, Jiangsu Du

CoRR, August, 2025

TD-Pipe: Temporally-Disaggregated Pipeline Parallelism Architecture for High-Throughput LLM Inference.

Hongbin Zhang, Taosheng Wei, Zhenyi Zheng, Jiangsu Du, Zhiguang Chen, Yutong Lu

CoRR, June, 2025

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism.

Jinhui Wei, Ye Huang, Yuhui Zhou, Jiazhi Jiang, Jiangsu Du

CoRR, May, 2025

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation.

Shenggan Cheng, Yuanxin Wei, Lansong Diao, Yong Liu, Bujiao Chen, Lianghua Huang, Yu Liu, Wenyuan Yu, Jiangsu Du, Wei Lin, Yang You

CoRR, May, 2025

EcoServe: Enabling Cost-effective LLM Serving with Proactive Intra- and Inter-Instance Orchestration.

Jiangsu Du, Hongbin Zhang, Taosheng Wei, Zhenyi Zheng, Kaiyi Wu, Zhiguang Chen, Yutong Lu

CoRR, April, 2025

gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling.

Tianyu Guo, Xianwei Zhang, Jiangsu Du, Zhiguang Chen, Nong Xiao, Yutong Lu

CoRR, April, 2025

ORFA: Exploring WebAssembly as a Turing Complete Query Language for Web APIs.

Yuhao Gu, Chunyu Chen, Jiangsu Du, Xiaoxi Zhang, Xianwei Zhang

Proceedings of the ACM on Web Conference 2025, 2025

Concerto: Automatic Communication Optimization and Scheduling for Large-Scale Deep Learning.

Shenggan Cheng, Shengjie Lin, Lansong Diao, Hao Wu, Siyu Wang, Chang Si, Ziming Liu, Xuanlei Zhao, Jiangsu Du, Wei Lin, Yang You

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

IncrCP: Decomposing and Orchestrating Incremental Checkpoints for Effective Recommendation Model Training.

Qingyin Lin, Jiangsu Du, Rui Li, Zhiguang Chen, Wenguang Chen, Nong Xiao

Proc. VLDB Endow., December, 2024

Sophisticated Orchestrating Concurrent DLRM Training on CPU/GPU Platform.

Rui Tian, Jiazhi Jiang, Jiangsu Du, Dan Huang, Yutong Lu

IEEE Trans. Parallel Distributed Syst., November, 2024

SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems.

Jiangsu Du, Dong-Sheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu

J. Comput. Sci. Technol., March, 2024

APTMoE: Affinity-Aware Pipeline Tuning for MoE Models on Bandwidth-Constrained GPU Nodes.

Yuanxin Wei, Jiangsu Du, Jiazhi Jiang, Xiao Shi, Xianwei Zhang, Dan Huang, Nong Xiao, Yutong Lu

Proceedings of the International Conference for High Performance Computing, 2024

Liger: Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference.

Jiangsu Du, Jinhui Wei, Jiazhi Jiang, Shenggan Cheng, Dan Huang, Zhiguang Chen, Yutong Lu

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Understanding the Inference Performance of Spatial Temporal Diffusion Transformer.

Yu Li, Yuanxin Wei, Jiangsu Du, Dan Huang, Nong Xiao

Proceedings of the Network and Parallel Computing, 2024

Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference.

Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen

Proceedings of the IEEE INFOCOM 2024, 2024

Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters.

Jiazhi Jiang, Hongbin Zhang, Deyin Liu, Jiangsu Du, Xiaojiao Yao, Jinhui Wei, Pin Chen, Dan Huang, Yutong Lu

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference.

Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Jiangsu Du, Yutong Lu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Improving Computation and Memory Efficiency for Real-world Transformer Inference on GPUs.

Jiangsu Du, Jiazhi Jiang, Jiang Zheng, Hongbin Zhang, Dan Huang, Yutong Lu

ACM Trans. Archit. Code Optim., December, 2023

Hierarchical Model Parallelism for Optimizing Inference on Many-core Processor via Decoupled 3D-CNN Structure.

Jiazhi Jiang, Zijiang Huang, Dan Huang, Jiangsu Du, Lin Chen, Ziguang Chen, Yutong Lu

ACM Trans. Archit. Code Optim., September, 2023

Optimizing massively parallel sparse matrix computing on ARM many-core processor.

Jiang Zheng, Jiazhi Jiang, Jiangsu Du, Dan Huang, Yutong Lu

Parallel Comput., September, 2023

Full-Stack Optimizing Transformer Inference on ARM Many-Core CPU.

Jiazhi Jiang, Jiangsu Du, Dan Huang, Zhiguang Chen, Yutong Lu, Xiangke Liao

IEEE Trans. Parallel Distributed Syst., July, 2023

ATP: Adaptive Tensor Parallelism for Foundation Models.

Shenggan Cheng, Ziming Liu, Jiangsu Du, Yang You

CoRR, 2023

MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform.

Jiazhi Jiang, Rui Tian, Jiangsu Du, Dan Huang, Yutong Lu

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Accelerating Inference of 3D-CNN on ARMMany-core CPU via Hierarchical Model Partition.

Jiazhi Jiang, Zijiang Huang, Dan Huang, Jiangsu Du, Yutong Lu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Enhancing Multi-physics Coupling on ARM Many-Core Cluster.

Wencheng Shi, Nan Hu, Jiangsu Du, Dan Huang, Yutong Lu

Proceedings of the Advanced Parallel Processing Technologies, 2023

2022

Optimizing small channel 3D convolution on GPU with tensor core.

Jiazhi Jiang, Dan Huang, Jiangsu Du, Yutong Lu, Xiangke Liao

Parallel Comput., 2022

Enhancing Distributed In-Situ CNN Inference in the Internet of Things.

Jiangsu Du, Yunfei Du, Dan Huang, Yutong Lu, Xiangke Liao

IEEE Internet Things J., 2022

EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models.

Jiangsu Du, Ziming Liu, Jiarui Fang, Shenggui Li, Yongbin Li, Yutong Lu, Yang You

CoRR, 2022

Handling heavy-tailed input of transformer inference on GPUs.

Jiangsu Du, Jiazhi Jiang, Yang You, Dan Huang, Yutong Lu

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

Characterizing and Optimizing Transformer Inference on ARM Many-core Processor.

Jiazhi Jiang, Jiangsu Du, Dan Huang, Dongsheng Li, Jiang Zheng, Yutong Lu

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Model Parallelism Optimization for Distributed Inference Via Decoupled CNN Structure.

Jiangsu Du, Xin Zhu, Minghua Shen, Yunfei Du, Yutong Lu, Nong Xiao, Xiangke Liao

IEEE Trans. Parallel Distributed Syst., 2021

2020

A Distributed In-Situ CNN Inference System for IoT Applications.

Jiangsu Du, Minghua Shen, Yunfei Du

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

2019

Understanding the Resource Demand Differences of Deep Neural Network Training.

Jiangsu Du, Xin Zhu, Nan Hu, Yunfei Du

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

P-SOBI: A Parallel Implementation for Second Order Blind Identification Algorithm.

Hongbo Li, Jiangsu Du, Yunfei Du, Zhiguang Chen, Nong Xiao

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019