Jiazhi Jiang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Bayesian Inference

Evaluation Methodologies

Top Venues

ACM Trans. Archit. Code Optim.

Parallel Comput.

Publications

Jiazhi Jiang, Dan Huang, Hu Chen, Yutong Lu, Xiangke Liao
HTDcr: a job execution framework for high-throughput computing on supercomputers. Sci. China Inf. Sci. 67 (1) (2024)
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) (2024)
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)
Jiangsu Du, Jinhui Wei, Jiazhi Jiang, Shenggan Cheng, Dan Huang, Zhiguang Chen, Yutong Lu
Liger: Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference. PPoPP (2024)
Jiazhi Jiang, Jiangsu Du, Dan Huang, Zhiguang Chen, Yutong Lu, Xiangke Liao
Full-Stack Optimizing Transformer Inference on ARM Many-Core CPU. IEEE Trans. Parallel Distributed Syst. 34 (7) (2023)
Jiazhi Jiang, Zijiang Huang, Dan Huang, Jiangsu Du, Lin Chen, Ziguan Chen, Yutong Lu
Hierarchical Model Parallelism for Optimizing Inference on Many-core Processor via Decoupled 3D-CNN Structure. ACM Trans. Archit. Code Optim. 20 (3) (2023)
Jiangsu Du, Jiazhi Jiang, Jiang Zheng, Hongbin Zhang, Dan Huang, Yutong Lu
Improving Computation and Memory Efficiency for Real-world Transformer Inference on GPUs. ACM Trans. Archit. Code Optim. 20 (4) (2023)
Jiazhi Jiang, Rui Tian, Jiangsu Du, Dan Huang, Yutong Lu
MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform. ICCD (2023)
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)
Jiang Zheng, Jiazhi Jiang, Jiangsu Du, Dan Huang, Yutong Lu
Optimizing massively parallel sparse matrix computing on ARM many-core processor. Parallel Comput. 117 (2023)
Jiazhi Jiang, Dan Huang, Jiangsu Du, Yutong Lu, Xiangke Liao
Optimizing small channel 3D convolution on GPU with tensor core. Parallel Comput. 113 (2022)
Jiazhi Jiang, Jiangsu Du, Dan Huang, Dongsheng Li, Jiang Zheng, Yutong Lu
Characterizing and Optimizing Transformer Inference on ARM Many-core Processor. ICPP (2022)
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 (2022)
Jiangsu Du, Jiazhi Jiang, Yang You, Dan Huang, Yutong Lu
Handling heavy-tailed input of transformer inference on GPUs. ICS (2022)
Zhi Li, Ali Vatankhah Barenji, Jiazhi Jiang, Ray Y. Zhong, Gangyan Xu
A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand. J. Intell. Manuf. 31 (2) (2020)