江嘉治，北京师范大学珠海校区人工智能与未来网络研究院讲师，2024年7月于中山大学广州超算中心获得博士学位。2023~2024在新加坡国立大学从事大预言模型系统性能优化相关研究。具备丰富的工程实践经验，曾在百度和网易游戏等公司担任大数据研发工程师和游戏研发工程师。研究方向包括:高性能计算、高效机器学习系统、软硬件系统优化与分布式计算任务调度等。近年来研究成果在IEEE TPDS、ACM TACO、SC、PPoPP、ICPP、ICCD、DATE、ICS, EuroPar等系统领域的顶级期刊和会议上发表。

个人主页：https://jiangjz.github.io/

国家重点研发计划——数据流驱动的 HPC-AI 协同开发运行关键技术研究 参研

广东省高性计算重点实验室开放基金——高吞吐率并行计算模型和运行框架关键技术研究 参研

百度松果基金——面向现代体系结构的机器学习算子优化方法论 参研

(#equal contribution, *corresponding author)

1. Jiazhi Jiang, Jiangsu Du, Dan Huang, Zhiguang Chen, Yutong Lu, Xiangke Liao, "Full Stack Optimizing Transformer Inference on ARM Many-core CPU", TPDS, 2023. (CCF-A)

2. Jiazhi Jiang, Zijian Huang, Dan Huang, Jiangsu Du, Lin Chen, Zhiguang Chen, Yutong Lu, "Hierarchical Model Parallelism for Optimizing Inference on Many-core Processor Via Decoupled 3D-CNN Structure", TACO, 2023. (CCF-A)

3. Jiazhi Jiang, Dan Huang, Hu Chen, Yutong Lu, Xiangke Liao, "HTDcr: A Job Execution Framework for High Throughput Computing on Supercomputers", Science China Information Science, 2023. (CCF-A)

4. Rui Tian#, Jiazhi Jiang#, Jiangsu Du, Dan Huang, Yutong Lu "Sophisticated Orchestrating Concurrent DLRM Training on CPU/GPU Platform", TPDS. (CCF-A)

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

"Characterizing and Optimizing Transformer Inference on ARM Many-core Processor", ICPP,2022. (CCF-B)

6. Jiazhi Jiang, Rui Tian, Jiangsu Du, Dan Huang, Yutong Lu "MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform", ICCD 2023.(CCF-B)

7. Jiazhi Jiang, Dan Huang, Jiangsu Du, Yutong Lu, Xiangke Liao, "Optimizing small channel 3D convolution on GPU with tensor core", Parallel Computing, 2022. (CCF-B)

8. Jiazhi Jiang, Zijian Huang, Dan Huang, Jiangsu Du, Yutong Lu, "Accelerating Inference of 3D-CNN on ARM Many-core CPU via Hierarchical Model Partition", DATE, 2023. (CCF-B)

9. Jiazhi Jiang, Hongbin Zhang, Jiangsu Du, Jinhui Wei, Dan Huang, Yutong Lu "RTAI:Efficient Coupling Hybrid Workflow of Streaming AI and Ensemble Simulations on HPC Clusters", Euro-Par 2024. (CCF-B)

10. Jiang Zheng#, Jiazhi Jiang#, Jiangsu Du, Dan Huang, Yutong Lu "Optimizing Massively Parallel Sparse Matrix Computing on ARM Many-core Processor", Parallel Computing,2023. (CCF-B)

11. Jiangsu Du, Jiazhi Jiang, Jiang Zheng, Hongbin Zhang, Dan Huang, Yutong Lu "Improving Computation and Memory Efficiency for Real world Transformer Inference on GPUs”, TACO 2023. (CCF-A)

12. Jiangsu Du, Jiazhi Jiang, Yang You, Dan Huang, Yutong Lu, "Handling Heavy-tailed Input of Transformer Inference on GPUs", ICS, 2022. (CCF-B)

13. JiangsuDu, Jinhui Wei, Jiazhi Jiang, Shengan Cheng, Dan Huang, Yutong Lu "Liger Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference", PPoPP 2024. (CCF-A)

14. Yuanxin Wei, Jiangsu Du, Jiazhi Jiang, Xiao Shi, Xianwei Zhang, Dan Huang, Nong Xiao, Yutong Lu, "APTMoE: Affinity-aware Pipeline Tuning for MoE Models on Bandwidth-constrained GPU Nodes", SC, 2024. (CCF-A)

15. Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Jiangsu Du and Yutong Lu "Communication-Efficient Model Parallelism for Distributed In-situ Transformer Inference", DATE 2024. (CCF-B)

16. Jiangsu Du, Dongsheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, and Yutong Lu, "SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems", JCST, 2023. (CCF-B)

17. Wenlong Zhu, Jiazhi Jiang, Dan Huang, Nong Xiao "ParM: Heterogeneous programming model based on domestic processor”, HPC China, 2023.

期刊会议审稿：HiPC,  Journal of Systems Architecture,  IEEE Internet of Things Journal,

Journal of supercomputing,  CCF Transactions on High Performance Computing等