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ORCIDJiazhi Jiang
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2020 – today
- 2024
[j9]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)- [j8]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): 384-400 (2024) - [j7]Rui Tian
, Jiazhi Jiang, Jiangsu Du, Dan Huang, Yutong Lu:
Sophisticated Orchestrating Concurrent DLRM Training on CPU/GPU Platform. IEEE Trans. Parallel Distributed Syst. 35(11): 2177-2192 (2024) - [c8]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: 1-6 - [c7]Jiazhi Jiang, Hongbin Zhang, Deyin Liu, Jiangsu Du, Xiaojiao Yao, Jinhui Wei, Pin Chen, Dan Huang, Yutong Lu:
Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters. Euro-Par (1) 2024: 313-328 - [c6]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: 42-54 - [c5]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: 90 - 2023
- [j6]Jiang Zheng, Jiazhi Jiang, Jiangsu Du, Dan Huang, Yutong Lu:
Optimizing massively parallel sparse matrix computing on ARM many-core processor. Parallel Comput. 117: 103035 (2023) - [j5]Jiazhi Jiang, Zijiang Huang, Dan Huang, Jiangsu Du, Lin Chen, Ziguang 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): 42:1-42:21 (2023) - [j4]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): 46:1-46:22 (2023) - [j3]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): 2221-2235 (2023) - [c4]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: 1-2 - [c3]Jiazhi Jiang, Rui Tian, Jiangsu Du, Dan Huang, Yutong Lu:
MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform. ICCD 2023: 366-374 - 2022
- [j2]Jiazhi Jiang, Dan Huang, Jiangsu Du, Yutong Lu, Xiangke Liao:
Optimizing small channel 3D convolution on GPU with tensor core. Parallel Comput. 113: 102954 (2022) - [c2]Jiazhi Jiang, Jiangsu Du, Dan Huang, Dongsheng Li, Jiang Zheng, Yutong Lu:
Characterizing and Optimizing Transformer Inference on ARM Many-core Processor. ICPP 2022: 20:1-20:11 - [c1]Jiangsu Du, Jiazhi Jiang, Yang You, Dan Huang, Yutong Lu:
Handling heavy-tailed input of transformer inference on GPUs. ICS 2022: 38:1-38:11 - [i1]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 abs/2212.03410 (2022) - 2020
- [j1]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): 469-480 (2020)
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