Jiangsu Du

48 papers A* 3A 6B 4C 4Journal 24Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient KV Cache Spillover Management on Memory-Constrained GPU for LLM Inference.
IEEE Trans. Parallel Distributed Syst.
Jiazhi Jiang, Yao Chen, Zining Zhang, Bingsheng He, Pingyi Luo, Mian Lu, Yuqiang Chen, Hongbin Zhang, Jiangsu Du, Dan Huang, Yutong Lu
2026 J jnl
Resource-Efficient Personal Large Language Models Fine-Tuning With Collaborative Edge Computing.
IEEE Trans. Parallel Distributed Syst.
Shengyuan Ye, Bei Ouyang, Tianyi Qian, Liekang Zeng, Jingyi Li, Jiangsu Du, Xiaowen Chu, Guoliang Xing, Xu Chen
2025 — conf
Archs: A WebAssembly Runtime for Cross-host Heterogeneous Computing in Serverless.
HP3C
Aoyuan Sun, Yue Tu, Yuhao Gu, Chunyu Chen, Jiangsu Du, Xianwei Zhang
2025 C conf
AuLoRA: Fine-Grained Loading and Computation Orchestration for Efficient LoRA LLM Serving.
ICCD
Xiao Shi, Jiangsu Du, Zhiguang Chen, Yutong Lu
2025 J jnl
Co-Designing Transformer Architectures for Distributed Inference With Low Communication.
IEEE Trans. Parallel Distributed Syst.
Jiangsu Du, Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Yutong Lu
2025 — conf
Concerto: Automatic Communication Optimization and Scheduling for Large-Scale Deep Learning.
ASPLOS (1)
Shenggan Cheng, Shengjie Lin, Lansong Diao, Hao Wu, Siyu Wang, Chang Si, Ziming Liu, Xuanlei Zhao, Jiangsu Du, Wei Lin, Yang You
2025 B conf
Doppeladler: Adaptive Tensor Parallelism for Latency-Critical LLM Deployment on CPU-GPU Integrated End-User Device.
PACT
Jiazhi Jiang, Xiao Liu, Jiangsu Du, Dan Huang, Yutong Lu
2025 J jnl
EcoServe: Enabling Cost-effective LLM Serving with Proactive Intra- and Inter-Instance Orchestration.
CoRR
Jiangsu Du, Hongbin Zhang, Taosheng Wei, Zhenyi Zheng, Kaiyi Wu, Zhiguang Chen, Yutong Lu
2025 C conf
Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism.
ICCD
Jinhui Wei, Ye Huang, Yuhui Zhou, Jiazhi Jiang, Jiangsu Du
2025 J jnl
Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism.
CoRR
Jinhui Wei, Ye Huang, Yuhui Zhou, Jiazhi Jiang, Jiangsu Du
2025 J jnl
MixCache: Mixture-of-Cache for Video Diffusion Transformer Acceleration.
CoRR
Yuanxin Wei, Lansong Diao, Bujiao Chen, Shenggan Cheng, Zhengping Qian, Wenyuan Yu, Nong Xiao, Wei Lin, Jiangsu Du
2025 A* conf
ORFA: Exploring WebAssembly as a Turing Complete Query Language for Web APIs.
WWW
Yuhao Gu, Chunyu Chen, Jiangsu Du, Xiaoxi Zhang, Xianwei Zhang
2025 A* conf
PASK: Cold Start Mitigation for Inference with Proactive and Selective Kernel Loading on GPUs.
DAC
Xuanteng Huang, Jiangsu Du, Nong Xiao, Xianwei Zhang
2025 J jnl
Resource-Efficient Collaborative Edge Transformer Inference With Hybrid Model Parallelism.
IEEE Trans. Mob. Comput.
Shengyuan Ye, Bei Ouyang, Jiangsu Du, Liekang Zeng, Tianyi Qian, Wenzhong Ou, Xiaowen Chu, Deke Guo, Yutong Lu, Xu Chen
2025 J jnl
SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation.
CoRR
Shenggan Cheng, Yuanxin Wei, Lansong Diao, Yong Liu, Bujiao Chen, Lianghua Huang, Yu Liu, Wenyuan Yu, Jiangsu Du, Wei Lin, Yang You
2025 B conf
TD-Pipe: Temporally-Disaggregated Pipeline Parallelism Architecture for High-Throughput LLM Inference.
ICPP
Hongbin Zhang, Taosheng Wei, Zhenyi Zheng, Jiangsu Du, Zhiguang Chen, Yutong Lu
2025 J jnl
TD-Pipe: Temporally-Disaggregated Pipeline Parallelism Architecture for High-Throughput LLM Inference.
CoRR
Hongbin Zhang, Taosheng Wei, Zhenyi Zheng, Jiangsu Du, Zhiguang Chen, Yutong Lu
2025 A conf
coMtainer: Compilation-assisted HPC Container Images with Enhanced Adaptability.
SC
Yuhao Gu, Haoquan Chen, Xianjie Chen, Jiangsu Du, Zhiguang Chen, Nong Xiao, Xianwei Zhang, Yutong Lu
2025 J jnl
gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling.
CoRR
Tianyu Guo, Xianwei Zhang, Jiangsu Du, Zhiguang Chen, Nong Xiao, Yutong Lu
2025 A conf
gLLM: Global Balanced Pipeline Parallelism Systems for Distributed LLMs Serving with Token Throttling.
SC
Tianyu Guo, Xianwei Zhang, Jiangsu Du, Zhiguang Chen, Nong Xiao, Yutong Lu
2024 A conf
APTMoE: Affinity-Aware Pipeline Tuning for MoE Models on Bandwidth-Constrained GPU Nodes.
SC
Yuanxin Wei, Jiangsu Du, Jiazhi Jiang, Xiao Shi, Xianwei Zhang, Dan Huang, Nong Xiao, Yutong Lu
2024 A conf
Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference.
DATE
Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Jiangsu Du, Yutong Lu
2024 — conf
Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters.
Euro-Par (1)
Jiazhi Jiang, Hongbin Zhang, Deyin Liu, Jiangsu Du, Xiaojiao Yao, Jinhui Wei, Pin Chen, Dan Huang, Yutong Lu
2024 A* conf
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference.
INFOCOM
Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen
2024 J jnl
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference.
CoRR
Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen
2024 J jnl
IncrCP: Decomposing and Orchestrating Incremental Checkpoints for Effective Recommendation Model Training.
Proc. VLDB Endow.
Qingyin Lin, Jiangsu Du, Rui Li, Zhiguang Chen, Wenguang Chen, Nong Xiao
2024 B conf
Liger: Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference.
PPoPP
Jiangsu Du, Jinhui Wei, Jiazhi Jiang, Shenggan Cheng, Dan Huang, Zhiguang Chen, Yutong Lu
2024 J jnl
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems.
J. Comput. Sci. Technol.
Jiangsu Du, Dong-Sheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu
2024 J jnl
Sophisticated Orchestrating Concurrent DLRM Training on CPU/GPU Platform.
IEEE Trans. Parallel Distributed Syst.
Rui Tian, Jiazhi Jiang, Jiangsu Du, Dan Huang, Yutong Lu
2024 — conf
Understanding the Inference Performance of Spatial Temporal Diffusion Transformer.
NPC (1)
Yu Li, Yuanxin Wei, Jiangsu Du, Dan Huang, Nong Xiao
2023 J jnl
ATP: Adaptive Tensor Parallelism for Foundation Models.
CoRR
Shenggan Cheng, Ziming Liu, Jiangsu Du, Yang You
2023 A conf
Accelerating Inference of 3D-CNN on ARMMany-core CPU via Hierarchical Model Partition.
DATE
Jiazhi Jiang, Zijiang Huang, Dan Huang, Jiangsu Du, Yutong Lu
2023 — conf
Enhancing Multi-physics Coupling on ARM Many-Core Cluster.
APPT
Wencheng Shi, Nan Hu, Jiangsu Du, Dan Huang, Yutong Lu
2023 J jnl
Full-Stack Optimizing Transformer Inference on ARM Many-Core CPU.
IEEE Trans. Parallel Distributed Syst.
Jiazhi Jiang, Jiangsu Du, Dan Huang, Zhiguang Chen, Yutong Lu, Xiangke Liao
2023 J jnl
Hierarchical Model Parallelism for Optimizing Inference on Many-core Processor via Decoupled 3D-CNN Structure.
ACM Trans. Archit. Code Optim.
Jiazhi Jiang, Zijiang Huang, Dan Huang, Jiangsu Du, Lin Chen, Ziguang Chen, Yutong Lu
2023 J jnl
Improving Computation and Memory Efficiency for Real-world Transformer Inference on GPUs.
ACM Trans. Archit. Code Optim.
Jiangsu Du, Jiazhi Jiang, Jiang Zheng, Hongbin Zhang, Dan Huang, Yutong Lu
2023 C conf
MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform.
ICCD
Jiazhi Jiang, Rui Tian, Jiangsu Du, Dan Huang, Yutong Lu
2023 J jnl
Optimizing massively parallel sparse matrix computing on ARM many-core processor.
Parallel Comput.
Jiang Zheng, Jiazhi Jiang, Jiangsu Du, Dan Huang, Yutong Lu
2022 B conf
Characterizing and Optimizing Transformer Inference on ARM Many-core Processor.
ICPP
Jiazhi Jiang, Jiangsu Du, Dan Huang, Dongsheng Li, Jiang Zheng, Yutong Lu
2022 J jnl
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models.
CoRR
Jiangsu Du, Ziming Liu, Jiarui Fang, Shenggui Li, Yongbin Li, Yutong Lu, Yang You
2022 J jnl
Enhancing Distributed In-Situ CNN Inference in the Internet of Things.
IEEE Internet Things J.
Jiangsu Du, Yunfei Du, Dan Huang, Yutong Lu, Xiangke Liao
2022 A conf
Handling heavy-tailed input of transformer inference on GPUs.
ICS
Jiangsu Du, Jiazhi Jiang, Yang You, Dan Huang, Yutong Lu
2022 J jnl
Optimizing small channel 3D convolution on GPU with tensor core.
Parallel Comput.
Jiazhi Jiang, Dan Huang, Jiangsu Du, Yutong Lu, Xiangke Liao
2022 J jnl
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems.
CoRR
Jiangsu Du, Dongsheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu
2021 J jnl
Model Parallelism Optimization for Distributed Inference Via Decoupled CNN Structure.
IEEE Trans. Parallel Distributed Syst.
Jiangsu Du, Xin Zhu, Minghua Shen, Yunfei Du, Yutong Lu, Nong Xiao, Xiangke Liao
2020 C conf
A Distributed In-Situ CNN Inference System for IoT Applications.
ICCD
Jiangsu Du, Minghua Shen, Yunfei Du
2019 — conf
P-SOBI: A Parallel Implementation for Second Order Blind Identification Algorithm.
HPCC/SmartCity/DSS
Hongbo Li, Jiangsu Du, Yunfei Du, Zhiguang Chen, Nong Xiao
2019 — conf
Understanding the Resource Demand Differences of Deep Neural Network Training.
ICA3PP (2)
Jiangsu Du, Xin Zhu, Nan Hu, Yunfei Du