Dan Huang

According to our database, Dan Huang authored at least 48 papers between 2015 and 2025.

Collaborative distances:

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

2025

HPC-AI Coupling Methodology for Scientific Applications.

Yutong Lu, Dan Huang, Pin Chen

CoRR, July, 2025

Critique of "Productivity, Portability, Performance Data-Centric Python" by SCC Team From Sun Yat-sen University.

Han Huang, Tengyang Zheng, Tianxing Yang, Yang Ye, Siran Liu, Zhe Tang, Shengyou Lu, Guangnan Feng, Zhiguang Chen, Dan Huang

IEEE Trans. Parallel Distributed Syst., May, 2025

GPU acceleration for DNA sequence alignment algorithm and its application.

Heming Zhong, Xiaojian Pan, Zengquang He, Haoling Wang, Dan Huang, Zhiguang Chen

CCF Trans. High Perform. Comput., April, 2025

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

Accelerating Massively Distributed Deep Learning Through Efficient Pseudo-Synchronous Update Method.

Yingpeng Wen, Zhilin Qiu, Dongyu Zhang, Dan Huang, Nong Xiao, Liang Lin

Int. J. Parallel Program., June, 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

AdaNAS: Adaptively Postprocessing With Self-Supervised Neural Architecture Search for Ensemble Rainfall Forecasts.

Yingpeng Wen, Weijiang Yu, Fudan Zheng, Dan Huang, Nong Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Topo: Towards a fine-grained topological data processing framework on Tianhe-3 supercomputer.

Nan Hu, Yutong Lu, Zhuo Tang, Zhiyong Liu, Dan Huang, Zhiguang Chen

J. Parallel Distributed Comput., 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

APTMoE: Affinity-Aware Pipeline Tuning for MoE Models on Bandwidth-Constrained GPU Nodes.

Yuanxin Wei, Jiangsu Du, Jiazhi Jiang, Xiao Shi, Xianwei Zhang, Dan Huang, Nong Xiao, Yutong Lu

Proceedings of the International Conference for High Performance Computing, 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

Understanding the Inference Performance of Spatial Temporal Diffusion Transformer.

Yu Li, Yuanxin Wei, Jiangsu Du, Dan Huang, Nong Xiao

Proceedings of the Network and Parallel Computing, 2024

Equivariant Diffusion for Crystal Structure Prediction.

Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Jianhuan Cen, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu

Proceedings of the Forty-first International Conference on Machine Learning, 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

A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data.

Huizhang Luo, Junqi Wang, Zhenlu Qin, Dan Huang, Qing Liu, Mengchu Zhou, Hong Jiang

IEEE Trans. Big Data, June, 2023

AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts.

Yingpeng Wen, Weijiang Yu, Fudan Zheng, Dan Huang, Nong Xiao

CoRR, 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

Enhancing Multi-physics Coupling on ARM Many-Core Cluster.

Wencheng Shi, Nan Hu, Jiangsu Du, Dan Huang, Yutong Lu

Proceedings of the Advanced Parallel Processing Technologies, 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

Identifying challenges and opportunities of in-memory computing on large HPC systems.

Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky

J. Parallel Distributed Comput., 2022

Enhancing Distributed In-Situ CNN Inference in the Internet of Things.

Jiangsu Du, Yunfei Du, Dan Huang, Yutong Lu, Xiangke Liao

IEEE Internet Things J., 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

2021

Enhancing Proportional IO Sharing on Containerized Big Data File Systems.

Dan Huang, Jun Wang, Qing Liu, Nong Xiao, Huafeng Wu, Jiangling Yin

IEEE Trans. Computers, 2021

A Fine-grained Optimization to Winograd Convolution Based on Micro-architectural Features of CPU.

Xiaofeng Chen, Zhiguang Chen, Yutong Lu, Dan Huang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Optimizing Massively Parallel Winograd Convolution on ARM Processor.

Dongsheng Li, Dan Huang, Zhiguang Chen, Yutong Lu

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020

Improving the efficiency of HPC data movement on container-based virtual cluster.

Dan Huang, Yutong Lu

CCF Trans. High Perform. Comput., 2020

A Comprehensive Study of In-Memory Computing on Large HPC Systems.

Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Harnessing Data Movement in Virtual Clusters for In-Situ Execution.

Dan Huang, Qing Liu, Scott Klasky, Jun Wang, Jong Youl Choi, Jeremy Logan, Norbert Podhorszki

IEEE Trans. Parallel Distributed Syst., 2019

Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems?

Dan Huang, Qing Liu, Jong Choi, Norbert Podhorszki, Scott Klasky, Jeremy Logan, George Ostrouchov, Xubin He, Matthew Wolf

IEEE Trans. Computers, 2019

Identifying Latent Reduced Models to Precondition Lossy Compression.

Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, Mengchu Zhou, Jinzhen Wang, Zhenlu Qin

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

2018

Achieving Load Balance for Parallel Data Access on Distributed File Systems.

Dan Huang, Dezhi Han, Jun Wang, Jiangling Yin, Xunchao Chen, Xuhong Zhang, Jian Zhou, Mao Ye

IEEE Trans. Computers, 2018

Performance Evaluation and Analysis for MPI-Based Data Movement in Virtual Switch Network.

Dan Huang, Jun Wang, Dezhi Han

Proceedings of the 2018 IEEE International Conference on Networking, 2018

2017

Energy-Aware Adaptive Restore Schemes for MLC STT-RAM Cache.

Xunchao Chen, Navid Khoshavi, Ronald F. DeMara, Jun Wang, Dan Huang, Wujie Wen, Yiran Chen

IEEE Trans. Computers, 2017

Deister: A light-weight autonomous block management in data-intensive file systems using deterministic declustering distribution.

Jun Wang, Xuhong Zhang, Junyao Zhang, Jiangling Yin, Dezhi Han, Ruijun Wang, Dan Huang

J. Parallel Distributed Comput., 2017

SideIO: A Side I/O system framework for hybrid scientific workflow.

Jun Wang, Dan Huang, Huafeng Wu, Jiangling Yin, Xuhong Zhang, Xunchao Chen, Ruijun Wang

J. Parallel Distributed Comput., 2017

DFS-container: achieving containerized block I/O for distributed file systems.

Dan Huang, Jun Wang, Qing Liu, Xuhong Zhang, Xunchao Chen, Jian Zhou

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016

AOS: adaptive overwrite scheme for energy-efficient MLC STT-RAM cache.

Xunchao Chen, Navid Khoshavi, Jian Zhou, Dan Huang, Ronald F. DeMara, Jun Wang, Wujie Wen, Yiran Chen

Proceedings of the 53rd Annual Design Automation Conference, 2016

2015

Deister: A Light-Weight Autonomous Block Management in Data-Intensive File Systems Using Deterministic Declustering Distribution.

Xuhong Zhang, Jiangling Yin, Jun Wang, Ruijun Wang, Dan Huang

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Experiences in using os-level virtualization for block I/O.

Dan Huang, Jun Wang, Qing Liu, Jiangling Yin, Xuhong Zhang, Xunchao Chen

Proceedings of the 10th Parallel Data Storage Workshop, 2015

Opass: Analysis and Optimization of Parallel Data Access on Distributed File Systems.

Jiangling Yin, Jun Wang, Jian Zhou, Tyler Lukasiewicz, Dan Huang, Junyao Zhang

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow.

Dan Huang, Jiangling Yin, Jun Wang, Xuhong Zhang, Junyao Zhang, Jian Zhou

Proceedings of the Cloud Computing and Big Data, 2015