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Dan Huang 0001
Person information
- affiliation: Sun Yat-Sen University, Guangzhou, China
Other persons with the same name
- Dan Huang — disambiguation page
- Dan Huang 0002
— Shanghai Jiao Tong University, Shanghai, China
- Dan Huang 0003
- Dan Huang 0004
- Dan Huang 0005
- Dan Huang 0006 — Central South University of Forestry and Technology, Changsha, China
- Dan Huang 0007 — Moutai Institute, Renhuai, China
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2020 – today
- 2024
- [j21]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) - [j20]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) - [j19]Nan Hu, Yutong Lu, Zhuo Tang, Zhiyong Liu, Dan Huang, Zhiguang Chen:
Topo: Towards a fine-grained topological data processing framework on Tianhe-3 supercomputer. J. Parallel Distributed Comput. 192: 104926 (2024) - [j18]Yingpeng Wen
AdaNAS: Adaptively Postprocessing With Self-Supervised Neural Architecture Search for Ensemble Rainfall Forecasts. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024) - [j17]Rui Tian
Sophisticated Orchestrating Concurrent DLRM Training on CPU/GPU Platform. IEEE Trans. Parallel Distributed Syst. 35(11): 2177-2192 (2024) - [c21]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 - [c20]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 - [c19]Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Jianhuan Cen, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu:
Equivariant Diffusion for Crystal Structure Prediction. ICML 2024 - [c18]Jiangsu Du
Liger: Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference. PPoPP 2024: 42-54 - [c17]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
- [j16]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) - [j15]Jiazhi Jiang
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) - [j14]Jiangsu Du
Improving Computation and Memory Efficiency for Real-world Transformer Inference on GPUs. ACM Trans. Archit. Code Optim. 20(4): 46:1-46:22 (2023) - [j13]Huizhang Luo
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data. IEEE Trans. Big Data 9(3): 949-963 (2023) - [j12]Jiazhi Jiang
Full-Stack Optimizing Transformer Inference on ARM Many-Core CPU. IEEE Trans. Parallel Distributed Syst. 34(7): 2221-2235 (2023) - [c16]Wencheng Shi, Nan Hu, Jiangsu Du, Dan Huang, Yutong Lu:
Enhancing Multi-physics Coupling on ARM Many-Core Cluster. APPT 2023: 3-18 - [c15]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 - [c14]Jiazhi Jiang, Rui Tian
MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform. ICCD 2023: 366-374 - 2022
- [j11]Jiangsu Du
Enhancing Distributed In-Situ CNN Inference in the Internet of Things. IEEE Internet Things J. 9(17): 15511-15524 (2022) - [j10]Dan Huang
Identifying challenges and opportunities of in-memory computing on large HPC systems. J. Parallel Distributed Comput. 164: 106-122 (2022) - [j9]Jiazhi Jiang, Dan Huang
Optimizing small channel 3D convolution on GPU with tensor core. Parallel Comput. 113: 102954 (2022) - [c13]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 - [c12]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) - 2021
- [j8]Dan Huang
Enhancing Proportional IO Sharing on Containerized Big Data File Systems. IEEE Trans. Computers 70(12): 2083-2097 (2021) - [c11]Dongsheng Li, Dan Huang, Zhiguang Chen, Yutong Lu:
Optimizing Massively Parallel Winograd Convolution on ARM Processor. ICPP 2021: 70:1-70:12 - [c10]Xiaofeng Chen, Zhiguang Chen, Yutong Lu, Dan Huang:
A Fine-grained Optimization to Winograd Convolution Based on Micro-architectural Features of CPU. ISPA/BDCloud/SocialCom/SustainCom 2021: 1199-1208 - 2020
- [j7]Dan Huang, Yutong Lu:
Improving the efficiency of HPC data movement on container-based virtual cluster. CCF Trans. High Perform. Comput. 2(1): 67-80 (2020) - [c9]Dan Huang, Zhenlu Qin, Qing Liu
A Comprehensive Study of In-Memory Computing on Large HPC Systems. ICDCS 2020: 987-997
2010 – 2019
- 2019
- [j6]Dan Huang
Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems? IEEE Trans. Computers 68(5): 631-645 (2019) - [j5]Dan Huang
Harnessing Data Movement in Virtual Clusters for In-Situ Execution. IEEE Trans. Parallel Distributed Syst. 30(3): 615-629 (2019) - [c8]Huizhang Luo, Dan Huang, Qing Liu
Identifying Latent Reduced Models to Precondition Lossy Compression. IPDPS 2019: 293-302 - 2018
- [j4]Dan Huang, Dezhi Han, Jun Wang
Achieving Load Balance for Parallel Data Access on Distributed File Systems. IEEE Trans. Computers 67(3): 388-402 (2018) - [c7]Dan Huang, Jun Wang
Performance Evaluation and Analysis for MPI-Based Data Movement in Virtual Switch Network. NAS 2018: 1-4 - 2017
- [j3]Jun Wang, Xuhong Zhang
Deister: A light-weight autonomous block management in data-intensive file systems using deterministic declustering distribution. J. Parallel Distributed Comput. 108: 3-13 (2017) - [j2]Jun Wang, Dan Huang
SideIO: A Side I/O system framework for hybrid scientific workflow. J. Parallel Distributed Comput. 108: 45-58 (2017) - [j1]Xunchao Chen, Navid Khoshavi, Ronald F. DeMara
Energy-Aware Adaptive Restore Schemes for MLC STT-RAM Cache. IEEE Trans. Computers 66(5): 786-798 (2017) - [c6]Dan Huang, Jun Wang
DFS-container: achieving containerized block I/O for distributed file systems. SoCC 2017: 660 - 2016
- [c5]Xunchao Chen, Navid Khoshavi, Jian Zhou
AOS: adaptive overwrite scheme for energy-efficient MLC STT-RAM cache. DAC 2016: 170:1-170:6 - 2015
- [c4]Dan Huang, Jiangling Yin, Jun Wang
UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow. CloudCom-Asia 2015: 99-114 - [c3]Jiangling Yin, Jun Wang
Opass: Analysis and Optimization of Parallel Data Access on Distributed File Systems. IPDPS 2015: 623-632 - [c2]Dan Huang, Jun Wang
Experiences in using os-level virtualization for block I/O. PDSW@SC 2015: 13-18 - [c1]Xuhong Zhang, Jiangling Yin, Jun Wang, Ruijun Wang, Dan Huang:
Deister: A Light-Weight Autonomous Block Management in Data-Intensive File Systems Using Deterministic Declustering Distribution. SmartCity 2015: 598-604
Coauthor Index
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