Dan Huang - RankMe

58 papers A* 2A 8B 6C 2Journal 31Unranked 9

Year	Rank	Type	Title / 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