Jiazhi Jiang

According to our database, Jiazhi Jiang authored at least 28 papers between 2020 and 2026.

Collaborative distances:

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

2026

PipeMax: Enhancing Offline LLM Inference on Commodity GPU Servers.

Hongbin Zhang, Taosheng Wei, Jiazhi Jiang, Hui Yan, Jiangsu Du, Zhiguang Chen

CoRR, May, 2026

Efficient KV Cache Spillover Management on Memory-Constrained GPU for LLM Inference.

Jiazhi Jiang, Yao Chen, Zining Zhang, Bingsheng He, Pingyi Luo, Mian Lu, Yuqiang Chen, Hongbin Zhang, Jiangsu Du, Dan Huang, Yutong Lu

IEEE Trans. Parallel Distributed Syst., January, 2026

ASM-SpMM: Unleashing the Potential of Arm SME for Sparse Matrix Multiplication Acceleration.

Jiazhi Jiang, Xijia Yao, Jiayu Chen, Jinhui Wei, Dan Huang, Yutong Lu

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

PolyKAN: A High-Performance and Universal GPU Operator Library for Polynomial Kolmogorov-Arnold Networks.

Mingkun Yu, Heming Zhong, Jiazhi Jiang, Dan Huang, Yutong Lu

Proceedings of the 40th ACM International Conference on Supercomputing, 2026

2025

Resilience-Aware Elastic Scaling for Cloud-Native Online DL Training on Multi-Tenant GPU Clusters.

Qianhao Wu, Jiazhi Jiang, Guihui Ling, Yue Pang

Proc. VLDB Endow., November, 2025

PolyKAN: Efficient Fused GPU Operators for Polynomial Kolmogorov-Arnold Network Variants.

Mingkun Yu, Heming Zhong, Dan Huang, Yutong Lu, Jiazhi Jiang

CoRR, November, 2025

STEM: Efficient Relative Capability Evaluation of LLMs through Structured Transition Samples.

Haiquan Hu, Jiazhi Jiang, Shiyou Xu, Ruhan Zeng, Tian Wang

CoRR, August, 2025

Co-Designing Transformer Architectures for Distributed Inference With Low Communication.

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

IEEE Trans. Parallel Distributed Syst., April, 2025

Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent.

Zihao Chen, Jiazhi Jiang, Jiangang Liu, Chao Zhang, Yuqi Diao, Yang Li, Hanmei Luo, Peng Chen

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

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

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

Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

Doppeladler: Adaptive Tensor Parallelism for Latency-Critical LLM Deployment on CPU-GPU Integrated End-User Device.

Jiazhi Jiang, Xiao Liu, Jiangsu Du, Dan Huang, Yutong Lu

Proceedings of the 34th International Conference on Parallel Architectures and Compilation Techniques, 2025

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

HTDcr: a job execution framework for high-throughput computing on supercomputers.

Jiazhi Jiang, Dan Huang, Hu Chen, Yutong Lu, Xiangke Liao

Sci. China Inf. Sci., 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

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

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

2022

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

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

Parallel Comput., 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

2020

A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand.

Zhi Li, Ali Vatankhah Barenji, Jiazhi Jiang, Ray Y. Zhong, Gangyan Xu

J. Intell. Manuf., 2020