Dan Huang

58 papers A* 2A 8B 6C 2Journal 31Unranked 9
YearRankTypeTitle / Venue / Authors
2026 B conf
ASM-SpMM: Unleashing the Potential of Arm SME for Sparse Matrix Multiplication Acceleration.
PPoPP
Jiazhi Jiang, Xijia Yao, Jiayu Chen, Jinhui Wei, Dan Huang, Yutong Lu
2026 J jnl
Efficient KV Cache Spillover Management on Memory-Constrained GPU for LLM Inference.
IEEE Trans. Parallel Distributed Syst.
Jiazhi Jiang, Yao Chen, Zining Zhang, Bingsheng He, Pingyi Luo, Mian Lu, Yuqiang Chen, Hongbin Zhang, Jiangsu Du, Dan Huang, Yutong Lu
2025 J jnl
Co-Designing Transformer Architectures for Distributed Inference With Low Communication.
IEEE Trans. Parallel Distributed Syst.
Jiangsu Du, Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Yutong Lu
2025 J jnl
Critique of "Productivity, Portability, Performance Data-Centric Python" by SCC Team From Sun Yat-sen University.
IEEE Trans. Parallel Distributed Syst.
Han Huang, Tengyang Zheng, Tianxing Yang, Yang Ye, Siran Liu, Zhe Tang, Shengyou Lu, Guangnan Feng, Zhiguang Chen, Dan Huang
2025 B conf
Doppeladler: Adaptive Tensor Parallelism for Latency-Critical LLM Deployment on CPU-GPU Integrated End-User Device.
PACT
Jiazhi Jiang, Xiao Liu, Jiangsu Du, Dan Huang, Yutong Lu
2025 J jnl
Equivariant Diffusion for Crystal Structure Prediction.
CoRR
Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Jianhuan Cen, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu
2025 J jnl
GPU acceleration for DNA sequence alignment algorithm and its application.
CCF Trans. High Perform. Comput.
Heming Zhong, Xiaojian Pan, Zengquang He, Haoling Wang, Dan Huang, Zhiguang Chen
2025 J jnl
HPC-AI Coupling Methodology for Scientific Applications.
CoRR
Yutong Lu, Dan Huang, Pin Chen
2025 A conf
HStencil: Matrix-Vector Stencil Computation with Interleaved Outer Product and MLA.
SC
Han Huang, Jiabin Xie, Guangnan Feng, Xianwei Zhang, Dan Huang, Zhiguang Chen, Yutong Lu
2025 C conf
IasRT: Interference-Aware and SLO-Driven GPU Scheduling for Real-Time DNN Inference.
ICCD
Heming Zhong, Jinhui Wei, Yujia Fu, Dan Huang, Yutong Lu
2025 J jnl
PolyKAN: Efficient Fused GPU Operators for Polynomial Kolmogorov-Arnold Network Variants.
CoRR
Mingkun Yu, Heming Zhong, Dan Huang, Yutong Lu, Jiazhi Jiang
2024 A conf
APTMoE: Affinity-Aware Pipeline Tuning for MoE Models on Bandwidth-Constrained GPU Nodes.
SC
Yuanxin Wei, Jiangsu Du, Jiazhi Jiang, Xiao Shi, Xianwei Zhang, Dan Huang, Nong Xiao, Yutong Lu
2024 J jnl
Accelerating Massively Distributed Deep Learning Through Efficient Pseudo-Synchronous Update Method.
Int. J. Parallel Program.
Yingpeng Wen, Zhilin Qiu, Dongyu Zhang, Dan Huang, Nong Xiao, Liang Lin
2024 J jnl
AdaNAS: Adaptively Postprocessing With Self-Supervised Neural Architecture Search for Ensemble Rainfall Forecasts.
IEEE Trans. Geosci. Remote. Sens.
Yingpeng Wen, Weijiang Yu, Fudan Zheng, Dan Huang, Nong Xiao
2024 A conf
Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference.
DATE
Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Jiangsu Du, Yutong Lu
2024 — conf
Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters.
Euro-Par (1)
Jiazhi Jiang, Hongbin Zhang, Deyin Liu, Jiangsu Du, Xiaojiao Yao, Jinhui Wei, Pin Chen, Dan Huang, Yutong Lu
2024 A* conf
Equivariant Diffusion for Crystal Structure Prediction.
ICML
Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Jianhuan Cen, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu
2024 J jnl
HTDcr: a job execution framework for high-throughput computing on supercomputers.
Sci. China Inf. Sci.
Jiazhi Jiang, Dan Huang, Hu Chen, Yutong Lu, Xiangke Liao
2024 B conf
Liger: Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference.
PPoPP
Jiangsu Du, Jinhui Wei, Jiazhi Jiang, Shenggan Cheng, Dan Huang, Zhiguang Chen, Yutong Lu
2024 J jnl
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems.
J. Comput. Sci. Technol.
Jiangsu Du, Dong-Sheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu
2024 J jnl
Sophisticated Orchestrating Concurrent DLRM Training on CPU/GPU Platform.
IEEE Trans. Parallel Distributed Syst.
Rui Tian, Jiazhi Jiang, Jiangsu Du, Dan Huang, Yutong Lu
2024 J jnl
Topo: Towards a fine-grained topological data processing framework on Tianhe-3 supercomputer.
J. Parallel Distributed Comput.
Nan Hu, Yutong Lu, Zhuo Tang, Zhiyong Liu, Dan Huang, Zhiguang Chen
2024 — conf
Understanding the Inference Performance of Spatial Temporal Diffusion Transformer.
NPC (1)
Yu Li, Yuanxin Wei, Jiangsu Du, Dan Huang, Nong Xiao
2023 J jnl
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data.
IEEE Trans. Big Data
Huizhang Luo, Junqi Wang, Zhenlu Qin, Dan Huang, Qing Liu, MengChu Zhou, Hong Jiang
2023 A conf
Accelerating Inference of 3D-CNN on ARMMany-core CPU via Hierarchical Model Partition.
DATE
Jiazhi Jiang, Zijiang Huang, Dan Huang, Jiangsu Du, Yutong Lu
2023 J jnl
AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts.
CoRR
Yingpeng Wen, Weijiang Yu, Fudan Zheng, Dan Huang, Nong Xiao
2023 — conf
Enhancing Multi-physics Coupling on ARM Many-Core Cluster.
APPT
Wencheng Shi, Nan Hu, Jiangsu Du, Dan Huang, Yutong Lu
2023 J jnl
Full-Stack Optimizing Transformer Inference on ARM Many-Core CPU.
IEEE Trans. Parallel Distributed Syst.
Jiazhi Jiang, Jiangsu Du, Dan Huang, Zhiguang Chen, Yutong Lu, Xiangke Liao
2023 J jnl
Hierarchical Model Parallelism for Optimizing Inference on Many-core Processor via Decoupled 3D-CNN Structure.
ACM Trans. Archit. Code Optim.
Jiazhi Jiang, Zijiang Huang, Dan Huang, Jiangsu Du, Lin Chen, Ziguang Chen, Yutong Lu
2023 J jnl
Improving Computation and Memory Efficiency for Real-world Transformer Inference on GPUs.
ACM Trans. Archit. Code Optim.
Jiangsu Du, Jiazhi Jiang, Jiang Zheng, Hongbin Zhang, Dan Huang, Yutong Lu
2023 C conf
MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform.
ICCD
Jiazhi Jiang, Rui Tian, Jiangsu Du, Dan Huang, Yutong Lu
2023 J jnl
Optimizing massively parallel sparse matrix computing on ARM many-core processor.
Parallel Comput.
Jiang Zheng, Jiazhi Jiang, Jiangsu Du, Dan Huang, Yutong Lu
2022 B ed.
Big Data - 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers
Big Data (CCF)
Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, Yang Gao, Yinghuan Shi, Changdong Wang, Dan Huang
2022 B conf
Characterizing and Optimizing Transformer Inference on ARM Many-core Processor.
ICPP
Jiazhi Jiang, Jiangsu Du, Dan Huang, Dongsheng Li, Jiang Zheng, Yutong Lu
2022 J jnl
Enhancing Distributed In-Situ CNN Inference in the Internet of Things.
IEEE Internet Things J.
Jiangsu Du, Yunfei Du, Dan Huang, Yutong Lu, Xiangke Liao
2022 A conf
Handling heavy-tailed input of transformer inference on GPUs.
ICS
Jiangsu Du, Jiazhi Jiang, Yang You, Dan Huang, Yutong Lu
2022 J jnl
Identifying challenges and opportunities of in-memory computing on large HPC systems.
J. Parallel Distributed Comput.
Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky
2022 J jnl
Optimizing small channel 3D convolution on GPU with tensor core.
Parallel Comput.
Jiazhi Jiang, Dan Huang, Jiangsu Du, Yutong Lu, Xiangke Liao
2022 J jnl
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems.
CoRR
Jiangsu Du, Dongsheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu
2021 — conf
A Fine-grained Optimization to Winograd Convolution Based on Micro-architectural Features of CPU.
ISPA/BDCloud/SocialCom/SustainCom
Xiaofeng Chen, Zhiguang Chen, Yutong Lu, Dan Huang
2021 J jnl
Enhancing Proportional IO Sharing on Containerized Big Data File Systems.
IEEE Trans. Computers
Dan Huang, Jun Wang, Qing Liu, Nong Xiao, Huafeng Wu, Jiangling Yin
2021 B conf
Optimizing Massively Parallel Winograd Convolution on ARM Processor.
ICPP
Dongsheng Li, Dan Huang, Zhiguang Chen, Yutong Lu
2020 A conf
A Comprehensive Study of In-Memory Computing on Large HPC Systems.
ICDCS
Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky
2020 J jnl
Improving the efficiency of HPC data movement on container-based virtual cluster.
CCF Trans. High Perform. Comput.
Dan Huang, Yutong Lu
2019 J jnl
Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems?
IEEE Trans. Computers
Dan Huang, Qing Liu, Jong Choi, Norbert Podhorszki, Scott Klasky, Jeremy Logan, George Ostrouchov, Xubin He, Matthew Wolf
2019 J jnl
Harnessing Data Movement in Virtual Clusters for In-Situ Execution.
IEEE Trans. Parallel Distributed Syst.
Dan Huang, Qing Liu, Scott Klasky, Jun Wang, Jong Youl Choi, Jeremy Logan, Norbert Podhorszki
2019 A conf
Identifying Latent Reduced Models to Precondition Lossy Compression.
IPDPS
Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, MengChu Zhou, Jinzhen Wang, Zhenlu Qin
2018 J jnl
Achieving Load Balance for Parallel Data Access on Distributed File Systems.
IEEE Trans. Computers
Dan Huang, Dezhi Han, Jun Wang, Jiangling Yin, Xunchao Chen, Xuhong Zhang, Jian Zhou, Mao Ye
2018 — conf
Performance Evaluation and Analysis for MPI-Based Data Movement in Virtual Switch Network.
NAS
Dan Huang, Jun Wang, Dezhi Han
2017 — conf
DFS-container: achieving containerized block I/O for distributed file systems.
SoCC
Dan Huang, Jun Wang, Qing Liu, Xuhong Zhang, Xunchao Chen, Jian Zhou
2017 J jnl
Deister: A light-weight autonomous block management in data-intensive file systems using deterministic declustering distribution.
J. Parallel Distributed Comput.
Jun Wang, Xuhong Zhang, Junyao Zhang, Jiangling Yin, Dezhi Han, Ruijun Wang, Dan Huang
2017 J jnl
Energy-Aware Adaptive Restore Schemes for MLC STT-RAM Cache.
IEEE Trans. Computers
Xunchao Chen, Navid Khoshavi, Ronald F. DeMara, Jun Wang, Dan Huang, Wujie Wen, Yiran Chen
2017 J jnl
SideIO: A Side I/O system framework for hybrid scientific workflow.
J. Parallel Distributed Comput.
Jun Wang, Dan Huang, Huafeng Wu, Jiangling Yin, Xuhong Zhang, Xunchao Chen, Ruijun Wang
2016 A* conf
AOS: adaptive overwrite scheme for energy-efficient MLC STT-RAM cache.
DAC
Xunchao Chen, Navid Khoshavi, Jian Zhou, Dan Huang, Ronald F. DeMara, Jun Wang, Wujie Wen, Yiran Chen
2015 — conf
Deister: A Light-Weight Autonomous Block Management in Data-Intensive File Systems Using Deterministic Declustering Distribution.
SmartCity
Xuhong Zhang, Jiangling Yin, Jun Wang, Ruijun Wang, Dan Huang
2015 — conf
Experiences in using os-level virtualization for block I/O.
PDSW@SC
Dan Huang, Jun Wang, Qing Liu, Jiangling Yin, Xuhong Zhang, Xunchao Chen
2015 A conf
Opass: Analysis and Optimization of Parallel Data Access on Distributed File Systems.
IPDPS
Jiangling Yin, Jun Wang, Jian Zhou, Tyler Lukasiewicz, Dan Huang, Junyao Zhang
2015 — conf
UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow.
CloudCom-Asia
Dan Huang, Jiangling Yin, Jun Wang, Xuhong Zhang, Junyao Zhang, Jian Zhou