Jiazhi Jiang

According to our database, Jiazhi Jiang authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

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

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