Exploiting Parallelization for RNA Secondary Structure Prediction in Cluster. - Guangming Tan; Shengzhong Feng; Ninghui Sun (International Conference on Computational Science (3), 2005)

An Efficient Dynamic Programming Algorithm and Implementation for RNA Secondary Structure Prediction. - Guangming Tan; Xinchun Liu; Ninghui Sun (International Conference on Computational Science (2), 2005)

An Optimized Algorithm of High Spatial-temporal Efficiency for MegaBlast. - Guangming Tan; Lin Xu; Yishan Jiao; Shengzhong Feng; Dongbo Bu; Ninghui Sun (ICPADS (2), 2005)

Load Balancing Algorithm in Cluster-based RNA secondary structure Prediction. - Guangming Tan; Shengzhong Feng; Ninghui Sun (ISPDC, 2005)

Load Balancing and Parallel Multiple Sequence Alignment with Tree Accumulation. - Guangming Tan; Liu Peng; Shengzhong Feng; Ninghui Sun (Euro-Par, 2006)

Improving locality of nonserial polyadic dynamic programming. - Guangming Tan; Ninghui Sun; Dongbo Bu (IPDPS, 2006)

An experimental study of optimizing bioinformatics applications. - Guangming Tan; Lin Xu; Shengzhong Feng; Ninghui Sun (IPDPS, 2006)

Biology - Locality and parallelism optimization for dynamic programming algorithm in bioinformatics. - Guangming Tan; Shengzhong Feng; Ninghui Sun (SC, 2006)

Improvement of Performance of MegaBlast Algorithm for DNA Sequence Alignment. - Guangming Tan; Lin Xu; Dongbo Bu; Shengzhong Feng; Ninghui Sun (J. Comput. Sci. Technol., 2006)

Implementation of the Smith-Waterman algorithm on a reconfigurable supercomputing platform. - Peiheng Zhang; Guangming Tan; Guang R. Gao (HPRCTA, 2007)

A parallel dynamic programming algorithm on a multi-core architecture. - Guangming Tan; Ninghui Sun; Guang R. Gao (SPAA, 2007)

Regular Paper: A Study of Architectural Optimization Methods in Bioinformatics Applications. - Guangming Tan; Lin Xu; Zhenghua Dai; Shengzhong Feng; Ninghui Sun (Int. J. High Perform. Comput. Appl., 2007)

Cache oblivious algorithms for nonserial polyadic programming. - Guangming Tan; Shengzhong Feng; Ninghui Sun (J. Supercomput., 2007)

Just-In-Time Locality and Percolation for Optimizing Irregular Applications on a Manycore Architecture. - Guangming Tan; Vugranam C. Sreedhar; Guang R. Gao (LCPC, 2008)

Experience on optimizing irregular computation for memory hierarchy in manycore architecture. - Guangming Tan; Dongrui Fan; Junchao Zhang; Andrew Russo; Guang R. Gao (PPoPP, 2008)

High Performance Matrix Multiplication on Many Cores. - Nan Yuan; Yongbin Zhou; Guangming Tan; Junchao Zhang; Dongrui Fan (Euro-Par, 2009)

A Parallel Algorithm for Computing Betweenness Centrality. - Guangming Tan; Dengbiao Tu; Ninghui Sun (ICPP, 2009)

Single-particle 3d reconstruction from cryo-electron microscopy images on GPU. - Guangming Tan; Ziyu Guo; Mingyu Chen 001; Dan Meng 002 (ICS, 2009)

Characterizing Betweenness Centrality Algorithm on Multi-core Architectures. - Dengbiao Tu; Guangming Tan (ISPA, 2009)

Extending Amdahl's law in the multicore era. - Erlin Yao; Yungang Bao; Guangming Tan; Mingyu Chen 001 (SIGMETRICS Perform. Evaluation Rev., 2009)

Improving Performance of Dynamic Programming via Parallelism and Locality on Multicore Architectures. - Guangming Tan; Ninghui Sun; Guang R. Gao (IEEE Trans. Parallel Distributed Syst., 2009)

Preliminary Investigation of Accelerating Molecular Dynamics Simulation on Godson-T Many-Core Processor. - Liu Peng; Guangming Tan; Rajiv K. Kalia; Aiichiro Nakano; Priya Vashishta; Dongrui Fan; Ninghui Sun (Euro-Par Workshops, 2010)

Automatically Tuned Dynamic Programming with an Algorithm-by-Blocks. - Jiajia Li 001; Guangming Tan; Mingyu Chen 001 (ICPADS, 2010)

Performance analysis and optimization of molecular dynamics simulation on Godson-T many-core processor. - Liu Peng; Aiichiro Nakano; Guangming Tan; Priya Vashishta; Dongrui Fan; Hao Zhang 009; Rajiv K. Kalia; Fenglong Song (Conf. Computing Frontiers, 2011)

Building algorithmically nonstop fault tolerant MPI programs. - Rui Wang; Erlin Yao; Mingyu Chen 001; Guangming Tan; Pavan Balaji; Darius Buntinas (HiPC, 2011)

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system. - Linchuan Li; Xingjian Li 002; Guangming Tan; Mingyu Chen 001; Peiheng Zhang (HPDC, 2011)

Poster: revisiting virtual channel memory for performance and fairness on multi-core architecture. - Licheng Chen; Yongbing Huang; Yungang Bao; Onur Mutlu; Guangming Tan; Mingyu Chen 001 (ICS, 2011)

Fast implementation of DGEMM on Fermi GPU. - Guangming Tan; Linchuan Li; Sean Triechle; Everett H. Phillips; Yungang Bao; Ninghui Sun (SC, 2011)

A New and Efficient Algorithm-Based Fault Tolerance Scheme for A Million Way Parallelism - Erlin Yao; Mingyu Chen 001; Rui Wang; Wenli Zhang; Guangming Tan (CoRR, 2011)

Numerical assessment of flood hazard risk to people and vehicles in flash floods. - Junqiang Xia; Roger A. Falconer; Binliang Lin; Guangming Tan (Environ. Model. Softw., 2011)

Dawning Nebulae: A PetaFLOPS Supercomputer with a Heterogeneous Structure. - Ninghui Sun; Jing Xing; Zhigang Huo; Guangming Tan; Jin Xiong; Bo Li 009; Can Ma (J. Comput. Sci. Technol., 2011)

Revisiting Multiple Pattern Matching Algorithms for Multi-Core Architecture. - Guangming Tan; Ping Liu 001; Dongbo Bu; Yanbing Liu (J. Comput. Sci. Technol., 2011)

Analysis and performance results of computing betweenness centrality on IBM Cyclops64. - Guangming Tan; Vugranam C. Sreedhar; Guang R. Gao (J. Supercomput., 2011)

Accelerating Millions of Short Reads Mapping on a Heterogeneous Architecture with FPGA Accelerator. - Wen Tang; Wendi Wang 002; Bo Duan; Chunming Zhang; Guangming Tan; Peiheng Zhang; Ninghui Sun (FCCM, 2012)

A coarse-grained stream architecture for cryo-electron microscopy images 3D reconstruction. - Wendi Wang 002; Bo Duan; Wen Tang; Chunming Zhang; Guangming Tan; Peiheng Zhang; Ninghui Sun (FPGA, 2012)

An optimized large-scale hybrid DGEMM design for CPUs and ATI GPUs. - Jiajia Li 001; Xingjian Li 002; Guangming Tan; Mingyu Chen 001; Ninghui Sun (ICS, 2012)

PDSEC Introduction. - Thomas Rauber; Gudula Rünger; Peter Strazdins; Laurence Tianruo Yang; Guangming Tan; Yi Pan 001 (IPDPS Workshops, 2012)

Investigating Memory Optimization of Hash-index for Next Generation Sequencing on Multi-core Architecture. - Wendi Wang 002; Wen Tang; Linchuan Li; Guangming Tan; Peiheng Zhang; Ninghui Sun (IPDPS Workshops, 2012)

A Case Study of Designing Efficient Algorithm-based Fault Tolerant Application for Exascale Parallelism. - Erlin Yao; Rui Wang; Mingyu Chen 001; Guangming Tan; Ninghui Sun (IPDPS, 2012)

A lightweight hybrid hardware/software approach for object-relative memory profiling. - Licheng Chen; Zehan Cui; Yungang Bao; Mingyu Chen 001; Yongbing Huang; Guangming Tan (ISPASS, 2012)

Compression and Sieve: Reducing Communication in Parallel Breadth First Search on Distributed Memory Systems - Huiwei Lv; Guangming Tan; Mingyu Chen 001; Ninghui Sun (CoRR, 2012)

SMAT: An Input Adaptive Sparse Matrix-Vector Multiplication Auto-Tuner - Jiajia Li 001; Xiuxia Zhang; Guangming Tan; Mingyu Chen 001 (CoRR, 2012)

Vlock: Lock virtualization mechanism for exploiting fine-grained parallelism in graph traversal algorithms. - Jie Yan; Guangming Tan; Xiuxia Zhang; Erlin Yao; Ninghui Sun (CGO, 2013)

ParaInsight: An Assistant for Quantitatively Analyzing Multi-granularity Parallel Region. - Ran Ao; Guangming Tan; Mingyu Chen 001 (HPCC/EUC, 2013)

SMAT: an input adaptive auto-tuner for sparse matrix-vector multiplication. - Jiajia Li 001; Guangming Tan; Mingyu Chen 001; Ninghui Sun (PLDI, 2013)

A Study of Leveraging Memory Level Parallelism for DRAM System on Multi-core/Many-Core Architecture. - Licheng Chen; Yongbing Huang; Yungang Bao; Guangming Tan; Zehan Cui (TrustCom/ISPA/IUCC, 2013)

GRE: A Graph Runtime Engine for Large-Scale Distributed Graph-Parallel Applications. - Jie Yan; Guangming Tan; Ninghui Sun (CoRR, 2013)

Understanding parallelism in graph traversal on multi-core clusters. - Huiwei Lv; Guangming Tan; Mingyu Chen 001; Ninghui Sun (Comput. Sci. Res. Dev., 2013)

Optimizing Parallel S n Sweeps on Unstructured Grids for Multi-Core Clusters. - Jie Yan; Guangming Tan; Ninghui Sun (J. Comput. Sci. Technol., 2013)

Scalability study of molecular dynamics simulation on Godson-T many-core architecture. - Liu Peng; Guangming Tan; Rajiv K. Kalia; Aiichiro Nakano; Priya Vashishta; Dongrui Fan; Hao Zhang 009; Fenglong Song (J. Parallel Distributed Comput., 2013)

Optimizing stencil code via locality of computation. - Yulong Luo; Guangming Tan (PACT, 2014)

Reducing Communication in Parallel Breadth-First Search on Distributed Memory Systems. - Huiwei Lv; Guangming Tan; Mingyu Chen 001; Ninghui Sun (CSE, 2014)

Accelerating massive short reads mapping for next generation sequencing (abstract only). - Chunming Zhang; Wen Tang; Guangming Tan (FPGA, 2014)

Exploiting fine-grained parallelism in graph traversal algorithms via lock virtualization on multi-core architecture. - Jie Yan; Guangming Tan; Ninghui Sun (J. Supercomput., 2014)

A Reliable Distributed Convolutional Neural Network for Biology Image Segmentation. - Xiuxia Zhang; Guangming Tan; Mingyu Chen 001 (CCGRID, 2015)

Application Taxonomy via Algorithmic Commonality for Domain-Specific Architecture Desgin. - Yuanrong Wang; Qiangqiang Li; Guangming Tan (HiPC, 2015)

Implementation of Short Read Alignment Algorithm in OpenCL on Xeon Phi Coprocessor. - Xiquan Zhao; Chuang Liu; Guangming Tan (HPCC/CSS/ICESS, 2015)

Study on Partitioning Real-World Directed Graphs of Skewed Degree Distribution. - Jie Yan; Guangming Tan; Ninghui Sun (ICPP, 2015)

Bit Flipping Errors in High Performance Linpack at Exascale and Beyond. - Erlin Yao; Guangming Tan (ICPP, 2015)

FAST: A Fast Stencil Autotuning Framework Based On An Optimal-solution Space Model. - Yulong Luo; Guangming Tan; Zeyao Mo; Ninghui Sun (ICS, 2015)

Detection of soft errors in LU decomposition with partial pivoting using algorithm-based fault tolerance. - Erlin Yao; Jiutian Zhang; Mingyu Chen 001; Guangming Tan; Ninghui Sun (Int. J. High Perform. Comput. Appl., 2015)

SuperDragon: A Heterogeneous Parallel System for Accelerating 3D Reconstruction of Cryo-Electron Microscopy Images. - Guangming Tan; Chunming Zhang; Wendi Wang 002; Peiheng Zhang (ACM Trans. Reconfigurable Technol. Syst., 2015)

Accelerating large-scale genomic analysis with Spark. - Xueqi Li 001; Guangming Tan; Chunming Zhang; Xu Li; Zhonghai Zhang; Ninghui Sun (BIBM, 2016)

Locality of Computation for Stencil Optimization. - Lufeng Yuan; Junhong Liu; Yulong Luo; Guangming Tan (ICA3PP, 2016)

边缘海静力数值预报模式并行算法研究 (Parallelization of Hydrostatic Numerical Forecasting Model of Marginal Sea). - Renbo Pang; Yunquan Zhang; Guangming Tan; Jianliang Xu; Haipeng Jia; Qingchun Xie (计算机科学, 2016)

Accelerating Irregular Computation in Massive Short Reads Mapping on FPGA Co-Processor. - Guangming Tan; Chunming Zhang; Wen Tang; Peiheng Zhang; Ninghui Sun (IEEE Trans. Parallel Distributed Syst., 2016)

Graphine: Programming Graph-Parallel Computation of Large Natural Graphs for Multicore Clusters. - Jie Yan; Guangming Tan; Zeyao Mo; Ninghui Sun (IEEE Trans. Parallel Distributed Syst., 2016)

Quantifying and Mitigating Computational Inefficiency of Genomics Data Analysis. - Xueqi Li 001; Guangming Tan; Chunming Zhang; Xu Li; Zhonghai Zhang; Ninghui Sun (HPCC/SmartCity/DSS, 2017)

RING: NUMA-Aware Message-Batching Runtime for Data-Intensive Applications. - Ke Meng; Guangming Tan (ICPADS, 2017)

A performance analysis framework for exploiting GPU microarchitectural capability. - Keren Zhou 001; Guangming Tan; Xiuxia Zhang; Chaowei Wang; Ninghui Sun (ICS, 2017)

Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning. - Xiuxia Zhang; Guangming Tan; Shuangbai Xue; Jiajia Li 001; Keren Zhou 001; Mingyu Chen 001 (PPoPP, 2017)

Accelerating FM-index Search for Genomic Data Processing. - Yuanrong Wang; Xueqi Li 001; Dawei Zang; Guangming Tan; Ninghui Sun (ICPP, 2018)

Communication-Avoiding for Dynamical Core of Atmospheric General Circulation Model. - Junmin Xiao; Shigang Li 002; Baodong Wu; He Zhang 005; Kun Li 016; Erlin Yao; Yunquan Zhang; Guangming Tan (ICPP, 2018)

Routing and Spectrum Allocation for Time Varying Traffic by Artificial Bee Colony Algorithm in Elastic Optical Networks. - Gang Xu; Xiaoxiao Li; Guojun Yuan; Zhan Wang 003; Guangming Tan; Xuejun An (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

High-performance genomic analysis framework with in-memory computing. - Xueqi Li 001; Guangming Tan; Bingchen Wang; Ninghui Sun (PPoPP, 2018)

Register-based implementation of the sparse general matrix-matrix multiplication on GPUs. - Junhong Liu; Xin He; Weifeng Liu 002; Guangming Tan (PPoPP, 2018)

Automated and precise event detection method for big data in biomedical imaging with support vector machine. - Lufeng Yuan; Erlin Yao; Guangming Tan (Comput. Syst. Sci. Eng., 2018)

Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture. - Guangming Tan; Junhong Liu; Jiajia Li 001 (ACM Trans. Math. Softw., 2018)

An Autotuning Protocol to Rapidly Build Autotuners. - Junhong Liu; Guangming Tan; Yulong Luo; Jiajia Li 001; Zeyao Mo; Ninghui Sun (ACM Trans. Parallel Comput., 2018)

Quadboost: A Scalable Concurrent Quadtree. - Keren Zhou 001; Guangming Tan; Wei Zhou 011 (IEEE Trans. Parallel Distributed Syst., 2018)

OeIM: An Optoelectronic Interconnection Middleware for the Exascale Computer. - En Shao; Guangming Tan; Zhan Wang 003; Ninghui Sun (HPCC/SmartCity/DSS, 2019)

A New Traffic Offloading Method with Slow Switching Optical Device in Exascale Computer. - En Shao; Guangming Tan; Zhan Wang 003; Guojun Yuan; Ninghui Sun (ICCD, 2019)

T2HT : Traffic-Driven Machine Learning Based Hierarchical Topology Generation Model. - Hongrui Zhu; Guojun Yuan; Guangming Tan; Zhan Wang 003; Tao Jiang; Xuejun An (ICPADS, 2019)

IA-SpGEMM: an input-aware auto-tuning framework for parallel sparse matrix-matrix multiplication. - Zhen Xie; Guangming Tan; Weifeng Liu 002; Ninghui Sun (ICS, 2019)

A Variable Batch Size Strategy for Large Scale Distributed DNN Training. - Zhongzhe Hu; Junmin Xiao; Zhongbo Tian; Xiaoyang Zhang; Hongrui Zhu; Chengji Yao; Ninghui Sun; Guangming Tan (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Tensor Layout Optimization of Convolution for Inference on Digital Signal Processor. - Xiaoyang Zhang; Junmin Xiao; Xiaobin Zhang; Zhongzhe Hu; Hongrui Zhu; Zhongbo Tian; Guangming Tan (ISPA/BDCloud/SocialCom/SustainCom, 2019)

A pattern based algorithmic autotuner for graph processing on GPUs. - Ke Meng; Jiajia Li 001; Guangming Tan; Ninghui Sun (PPoPP, 2019)

S-EnKF: co-designing for scalable ensemble Kalman filter. - Junmin Xiao; Shijie Wang; Weiqiang Wan; Xuehai Hong; Guangming Tan (PPoPP, 2019)

Wormhole optical network: a new architecture to solve long diameter problem in exascale computer. - En Shao; Zhan Wang 003; Guojun Yuan; Guangming Tan; Ninghui Sun (CCF Trans. High Perform. Comput., 2019)

Editorial for the special issue on innovations in supercomputing techniques. - Guangming Tan; Guang R. Gao (CCF Trans. High Perform. Comput., 2019)

Register-Aware Optimizations for Parallel Sparse Matrix-Matrix Multiplication. - Junhong Liu; Xin He; Weifeng Liu 002; Guangming Tan (Int. J. Parallel Program., 2019)

FEB3D: An Efficient FPGA-Accelerated Compression Framework for Microscopy Images. - Wanqi Liu; Yewen Li; Dawei Zang; Guangming Tan (NPC, 2020)

Revisiting linpack algorithm on large-scale CPU-GPU heterogeneous systems. - Chaoyang Shui; Xianzhi Yu; Yujin Yan; Yinshan Wang; Ke Meng; Guangming Tan (PPoPP, 2020)

Communication Lower Bounds of Convolutions in CNNs. - Xiaoyang Zhang; Junmin Xiao; Guangming Tan (SPAA, 2020)

Editorial for the special issue on HPC algorithms and applications. - Haohuan Fu; Wei Xue 003; Guangming Tan; Xiaowen Xu (CCF Trans. High Perform. Comput., 2020)

Towards a heterogeneous architecture solver for the incompressible Navier-Stokes equations. - Yunting Wang; Xin He; Shaofeng Yang; Guangming Tan (CCF Trans. High Perform. Comput., 2020)

Fast Data-Obtaining Algorithm for Data Assimilation with Large Data Set. - Junmin Xiao; Guizhao Zhang; Yanan Gao; Xuehai Hong; Guangming Tan (Int. J. Parallel Program., 2020)

WidePipe: High-Throughput Deep Learning Inference System on a Cluster of Neural Processing Units. - Lixian Ma; En Shao; Yueyuan Zhou; Guangming Tan (ICCD, 2021)

Building Agile Workflow Microservice System for HPC Applications Based on Fast-start OSv. - Qiang Hu; Lixian Ma; En Shao; Guangming Tan (ICPADS, 2021)

Deep Reinforcement Agent for Failure-aware Job scheduling in High-Performance Computing. - Kang Yang; Rongyu Cao; Yueyuan Zhou; Jiawei Zhang; En Shao; Guangming Tan (ICPADS, 2021)

Spatio-Temporal Features Processing Network for Change Detection in Remote Sensing Images. - Zihao Yang; Zhaobin Cao; Xiaohua Wan; Fa Zhang 001; Guangming Tan (IGARSS, 2021)

TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs. - Yuyao Niu; Zhengyang Lu 003; Meichen Dong; Zhou Jin 001; Weifeng Liu 002; Guangming Tan (IPDPS, 2021)

A Multi-GPU Design for Large Size Cryo-EM 3D Reconstruction. - Zihao Wang; Xiaohua Wan; Zhiyong Liu 002; Qianshuo Fan; Fa Zhang 001; Guangming Tan (IPDPS, 2021)

I/O lower bounds for auto-tuning of convolutions in CNNs. - Xiaoyang Zhang; Junmin Xiao; Guangming Tan (PPoPP, 2021)

Editorial for the special issue on large-scale AI in classical HPC environment and AI for science. - Wei Xue 003; Haohuan Fu; Weile Jia; Guangming Tan (CCF Trans. High Perform. Comput., 2021)

High-performance Migration Tool for Live Container in a Workflow. - Zhanyuan Di; En Shao; Guangming Tan (Int. J. Parallel Program., 2021)

Guest Editorial: Special issue on Network and Parallel Computing for Emerging Architectures and Applications. - Guangming Tan; Guang R. Gao (Int. J. Parallel Program., 2021)

PIM-Align: A Processing-in-Memory Architecture for FM-Index Search Algorithm. - Xueqi Li 001; Guangming Tan; Ninghui Sun (J. Comput. Sci. Technol., 2021)

A New Optoelectronic Hybrid Network Based on Scheduling Optimization of Optical Links. - En Shao; Guangming Tan; Zhan Wang 003; Guojun Yuan; Zheng Cao 003; Ninghui Sun (IEEE Trans. Computers, 2021)

Optimizing the LINPACK Algorithm for Large-Scale PCIe-Based CPU-GPU Heterogeneous Systems. - Guangming Tan; Chaoyang Shui; Yinshan Wang; Xianzhi Yu; Yujin Yan (IEEE Trans. Parallel Distributed Syst., 2021)

MetaZip: a high-throughput and efficient accelerator for DEFLATE. - Ruihao Gao; Xueqi Li 001; Yewen Li; Xun Wang 010; Guangming Tan (DAC, 2022)

csRNA: Connection-Scalable RDMA NIC Architecture in Datacenter Environment. - Ning Kang 007; Zhan Wang 003; Fan Yang 096; Xiaoxiao Ma 004; Zhenlong Ma; Guojun Yuan; Guangming Tan (ICCD, 2022)

TileSpMSpV: A Tiled Algorithm for Sparse Matrix-Sparse Vector Multiplication on GPUs. - Haonan Ji; Huimin Song; Shibo Lu; Zhou Jin 001; Guangming Tan; Weifeng Liu 002 (ICPP, 2022)

MegTaiChi: dynamic tensor-based memory management optimization for DNN training. - Zhongzhe Hu; Junmin Xiao; Zheye Deng; Mingyi Li; Kewei Zhang; Xiaoyang Zhang; Ke Meng; Ninghui Sun; Guangming Tan (ICS, 2022)

CSAM: A Channel and Spatial Attention Mechanism for Impervious Surface Extraction in Difficult Areas. - Fangyuan Zhao; Xiaohua Wan; Sijia Li; Zhongchang Sun; Wenjing Zhang; Dehui Qiu; Fa Zhang 001; Xinyu Liu 008; Guangming Tan (IGARSS, 2022)

Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. - Zhuoqiang Guo; Denghui Lu; Yujin Yan; Siyu Hu; Rongrong Liu; Guangming Tan; Ninghui Sun; Wanrun Jiang; Lijun Liu; Yixiao Chen; Linfeng Zhang 002; Mohan Chen 002; et al. (PPoPP, 2022)

A W-cycle algorithm for efficient batched SVD on GPUs. - Junmin Xiao; Qing Xue; Hui Ma; Xiaoyang Zhang; Guangming Tan (PPoPP, 2022)

AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices. - Zhen Du; Jiajia Li 001; Yinshan Wang; Xueqi Li 001; Guangming Tan; Ninghui Sun (SC, 2022)

2.5 Million-Atom Ab Initio Electronic-Structure Simulation of Complex Metallic Heterostructures with DGDFT. - Wei Hu 006; Hong An; Zhuoqiang Guo; Qingcai Jiang; Xinming Qin; Junshi Chen; Weile Jia; Chao Yang 001; Zhaolong Luo; Jielan Li; Wentiao Wu; Guangming Tan; et al. (SC, 2022)

W-Cycle SVD: A Multilevel Algorithm for Batched SVD on GPUs. - Junmin Xiao; Yunfei Pang; Qing Xue; Chaoyang Shui; Ke Meng; Hui Ma; Mingyi Li; Xiaoyang Zhang; Guangming Tan (SC, 2022)

Improvement of AI forecast of gridded PM2.5 forecast in China through ConvLSTM and Attention. - Pei Liu; Erlin Yao; Tao Liu; Lei Kong; Xiao Tang; Guangming Tan (CCF Trans. High Perform. Comput., 2022)

Fast and accurate variable batch size convolution neural network training on large scale distributed systems. - Zhongzhe Hu; Junmin Xiao; Ninghui Sun; Guangming Tan (Concurr. Comput. Pract. Exp., 2022)

Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. - Zhuoqiang Guo; Denghui Lu; Yujin Yan; Siyu Hu; Rongrong Liu; Guangming Tan; Ninghui Sun; Wanrun Jiang; Lijun Liu; Yixiao Chen; Linfeng Zhang 002; Mohan Chen 002; et al. (CoRR, 2022)

Double precision is not necessary for LSQR for solving discrete linear ill-posed problems. - Haibo Li 007; Guangming Tan; Tong Zhao (CoRR, 2022)

A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures. - Zhen Xie; Guangming Tan; Weifeng Liu 002; Ninghui Sun (IEEE Trans. Parallel Distributed Syst., 2022)

RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy. - Siyu Hu; Wentao Zhang; Qiuchen Sha; Feng Pan; Lin-Wang Wang; Weile Jia; Guangming Tan; Tong Zhao (AAAI, 2023)

Integrative Drug Discovery Platform: A Modular Approach for Efficient and Automated Virtual Screening. - Tianci Li; Lulu Xie; Zhonghai Zhang; Xu Li; Bo Duan; Gang Niu 008; Shiwei Sun; Fa Zhang 001; Runting Zhang; Guangming Tan; Chunming Zhang (BIBM, 2023)

NvWa: Enhancing Sequence Alignment Accelerator Throughput via Hardware Scheduling. - Yewen Li; Xueqi Li 001; Ruihao Gao; Wanqi Liu; Guangming Tan (HPCA, 2023)

DeletePop: A DLT Execution Time Predictor Based on Comprehensive Modeling. - Yongzhe He; Yueyuan Zhou; En Shao; Guangming Tan; Ninghui Sun (ICA3PP (7), 2023)

JetEsti: A New DLT Job Scheduling Simulator Based on Fine-Grained Process Modeling. - Yongzhe He; Yueyuan Zhou; En Shao; Guangming Tan; Ninghui Sun (ICDCS, 2023)

GraphPar: Efficient Workload-Aware Subgraph Matching System on Multiple GPUs. - Kewei Zhang; Junmin Xiao; Zhiheng Lin; Ke Meng; Chaoyang Shui; Mingyi Li; Guangming Tan (ICPADS, 2023)

Fast All-Pairs Shortest Paths Algorithm in Large Sparse Graph. - Shaofeng Yang; Xiandong Liu; Yunting Wang; Xin He; Guangming Tan (ICS, 2023)

Enhance the Strong Scaling of LAMMPS on Fugaku. - Jianxiong Li; Tong Zhao; Zhuoqiang Guo; Shunchen Shi; Lijun Liu; Guangming Tan; Weile Jia; Guojun Yuan; Zhan Wang 003 (SC, 2023)

Adaptive Workload-Balanced Scheduling Strategy for Global Ocean Data Assimilation on Massive GPUs. - Junmin Xiao; Chaoyang Shui; Di Cai; Kangyu Wang; Yunfei Pang; Mingyi Li; Hui Ma; Guangming Tan (SC, 2023)

LAMMPS optimazed for Fugaku. - Jianxiong Li; Tong Zhao; Zhuoqiang Guo; Shunchen Shi; Lijun Liu; Guangming Tan; Weile Jia; Guojun Yuan; Zhan Wang 003 (Zenodo, 2023)

Editorial for the special issue on architecture, algorithms and applications of high performance sparse matrix computations. - Weifeng Liu 002; Guangming Tan; Xiaowen Xu (CCF Trans. High Perform. Comput., 2023)

BeeZip: Towards An Organized and Scalable Architecture for Data Compression. - Ruihao Gao; Zhichun Li; Guangming Tan; Xueqi Li 001 (ASPLOS (3), 2024)

Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation. - Guofeng Feng; Hongyu Wang; Zhuoqiang Guo; Mingzhen Li 001; Tong Zhao; Zhou Jin 001; Weile Jia; Guangming Tan; Ninghui Sun (Euro-Par (3), 2024)

ElasticRoom: Multi-Tenant DNN Inference Engine via Co-design with Resource-constrained Compilation and Strong Priority Scheduling. - Lixian Ma; Haoruo Chen; En Shao; Leping Wang; Quan Chen 002; Guangming Tan (HPDC, 2024)

MERCURY: Efficient Subgraph Matching on GPUs with Hybrid Scheduling. - Zhiheng Lin; Changjie Xu; Ke Meng; Guangming Tan (HPEC, 2024)

FNCC: Fast Notification Congestion Control in Data Center Networks. - Jing Xu; Zhan Wang 003; Fan Yang 096; Ning Kang 007; Zhenlong Ma; Guojun Yuan; Guangming Tan; Ninghui Sun (ICPP, 2024)

A Coordinated Strategy for GNN Combining Computational Graph and Operator Optimizations. - Mingyi Li; Junmin Xiao; Kewei Zhang; Zhiheng Lin; Chaoyang Shui; Ke Meng; Zehua Wang; Yunfei Pang; Guangming Tan (ICS, 2024)

AsymFB: Accelerating LLM Training Through Asymmetric Model Parallelism. - Jiawei Zhang; En Shao; Leping Wang; Guangming Tan; Ninghui Sun (NPC (1), 2024)

Accelerate Distributed Deep Learning with a Fast Reconfigurable Optical Network. - Wenzhe Li; Guojun Yuan; Zhan Wang 003; Guangming Tan; Peiheng Zhang; George N. Rouskas (OFC, 2024)

POSTER: Optimizing Sparse Tensor Contraction with Revisiting Hash Table Design. - Guofeng Feng; Weile Jia; Ninghui Sun; Guangming Tan; Jiajia Li 001 (PPoPP, 2024)

Training one DeePMD Model in Minutes: a Step towards Online Learning. - Siyu Hu; Tong Zhao; Qiuchen Sha; Enji Li; Xiangyu Meng 005; Liping Liu; Lin-Wang Wang; Guangming Tan; Weile Jia (PPoPP, 2024)

Exploiting Fine-Grained Redundancy in Set-Centric Graph Pattern Mining. - Zhiheng Lin; Ke Meng; Chaoyang Shui; Kewei Zhang; Junmin Xiao; Guangming Tan (PPoPP, 2024)

POSTER: FineCo: Fine-grained Heterogeneous Resource Management for Concurrent DNN Inferences. - Lixian Ma; Haoruo Chen; En Shao; Leping Wang; Quan Chen 002; Guangming Tan (PPoPP, 2024)

Scaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day. - Jianxiong Li; Boyang Li; Zhuoqiang Guo; Mingzhen Li; Enji Li; Lijun Liu; Guojun Yuan; Zhan Wang 003; Guangming Tan; Weile Jia (SC, 2024)

Mille-feuille: A Tile-Grained Mixed Precision Single-Kernel Conjugate Gradient Solver on GPUs. - Dechuang Yang; Yuxuan Zhao; Yiduo Niu; Weile Jia; En Shao; Weifeng Liu 002; Guangming Tan; Zhou Jin 001 (SC, 2024)

JingZhao: A Framework for Rapid NIC Prototyping in the Domain-Specific-Network Era. - Fan Yang 096; Zhan Wang 003; Ning Kang 007; Zhenlong Ma; Jianxiong Li; Guojun Yuan; Guangming Tan (CoRR, 2024)

Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework. - Boyuan Zhang 002; Bo Fang 002; Fanjiang Ye; Yida Gu; Nathan R. Tallent; Guangming Tan; Dingwen Tao (CoRR, 2024)

Special issue of HPCChina 2023. - Yunquan Zhang; Guangming Tan; Liang Yuan (CCF Trans. High Perform. Comput., 2024)

FILL: a heterogeneous resource scheduling system addressing the low throughput problem in GROMACS. - Yueyuan Zhou; Ziyi Ren; En Shao; Lixian Ma; Qiang Hu; Leping Wang; Guangming Tan (CCF Trans. High Perform. Comput., 2024)

10-Million Atoms Simulation of First-Principle Package LS3DF. - Yujin Yan; Hai-Bo Li 007; Tong Zhao; Lin-Wang Wang; Lin Shi; Tao Liu; Guangming Tan; Weile Jia; Ninghui Sun (J. Comput. Sci. Technol., 2024)

Fast and scalable all-optical network architecture for distributed deep learning. - Wenzhe Li; Guojun Yuan; Zhan Wang 003; Guangming Tan; Peiheng Zhang; George N. Rouskas (J. Opt. Commun. Netw., 2024)

Towards connection-scalable RNIC architecture. - Ning Kang 007; Zhan Wang 003; Fan Yang 096; Xiaoxiao Ma 004; Zhenlong Ma; Guojun Yuan; Guangming Tan (J. Supercomput., 2024)

Optimizing Deep Learning Inference Efficiency through Block Dependency Analysis. - Zhanyuan Di; Leping Wang; En Shao; Zhaojia Ma; Ziyi Ren; Feng Hua; Lixian Ma; Jie Zhao 002; Guangming Tan; Ninghui Sun (ASPLOS (2), 2025)

FastSpMM: Leveraging Tensor Cores for Sparse Matrix Multiplication. - Hongyu Wang; Mingzhen Li 001; Weile Jia; Hailong Yang 002; Guangming Tan (CF, 2025)

Jupiter: Pushing Speed and Scalability Limitations for Subgraph Matching on Multi-GPUs. - Zhiheng Lin; Ke Meng; Changjie Xu; Weichen Cao 002; Guangming Tan (EuroSys, 2025)

Large Scale Finite-Temperature Real-Time Time Dependent Density Functional Theory Calculation with Hybrid Functional on ARM and GPU Systems. - Rongrong Liu; Zhuoqiang Guo; Qiuchen Sha; Tong Zhao; Haibo Li; Wei Hu 006; Lijun Liu; Guangming Tan; Weile Jia (IPDPS, 2025)

NAPEH: An Asynchronous and NUMA-Aware KV Store Based on Non-Volatile Memory Architectures. - Yili Ma; Shengquan Yin; Jing Xing; Haoquan Long; Zheng Wei; Guangming Tan; Dingwen Tao (IPDPS (Workshops), 2025)

TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System. - Zheng Wei; Jing Xing; Yida Gu; Guangming Tan; Dingwen Tao (IPDPS (Workshops), 2025)

FastCHGNet: Training One Universal Interatomic Potential to 1.5 Hours with 32 GPUs. - Yuanchang Zhou; Siyu Hu; Chen Wang; Lin-Wang Wang; Guangming Tan; Weile Jia (IPDPS, 2025)

MD-pipe: A Strong Scaling Enhanced Pipeline Architecture for Ab Initio Accuracy Molecular Dynamics. - Ning Kang 007; Guojun Yuan; Zihan Yan; Beining Zhang; Boyang Li; Zeyu Li; Shuo Wang; Guanglei Chen; Jiayi Rao; Zhan Wang 003; Weile Jia; Ninghui Sun; et al. (ISCA, 2025)

GLumin: Fast Connectivity Check Based on LUTs For Efficient Graph Pattern Mining. - Weichen Cao 002; Ke Meng; Zhiheng Lin; Guangming Tan (PPoPP, 2025)

Magneto: Accelerating Parallel Structures in DNNs via Co-Optimization of Operators. - Zhanyuan Di; Leping Wang; Ziyi Ren; En Shao; Jie Zhao 002; Siyuan Feng; Dingwen Tao; Guangming Tan; Ninghui Sun (PPoPP, 2025)

Mario: Near Zero-cost Activation Checkpointing in Pipeline Parallelism. - Weijian Liu; Mingzhen Li 001; Guangming Tan; Weile Jia (PPoPP, 2025)

COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. - Baixi Sun; Weijin Liu; J. Gregory Pauloski; Jiannan Tian; Jinda Jia; Daoce Wang; Boyuan Zhang 002; Mingkai Zheng; Sheng Di; Sian Jin; Zhao Zhang 007; Xiaodong Yu 001; et al. (PPoPP, 2025)

FastBWA: Practical and Cost-Efficient Genome Sequence Alignment Pipeline. - Zhonghai Zhang; Yewen Li; Ke Meng; Chunming Zhang; Guangming Tan (PPoPP, 2025)

GeneralSparse: Bridging the Gap in SpMM for Pruned Large Language Model Inference on GPUs. - Yaoyu Wang; Xiao Guo; Junmin Xiao; De Chen; Guangming Tan (USENIX ATC, 2025)

Backward error analysis of the Lanczos bidiagonalization with reorthogonalization. - Haibo Li 007; Guangming Tan; Tong Zhao (J. Comput. Appl. Math., 2025)

FuHsi: Shifting Base-Calling Closer to Sequencer via In-Cache Acceleration. - Yewen Li; Guangming Tan; Xueqi Li 001 (J. Comput. Sci. Technol., 2025)

VastPipe: A High-Throughput Inference System via Adaptive Space-Division Multiplexing for Diverse Accelerators. - Lixian Ma; Leping Wang; En Shao; Rongyu Cao; Guangming Tan (J. Comput. Sci. Technol., 2025)

An interpretable DeePMD-kit performance model for emerging supercomputers. - Xiangyu Meng 005; Xun Wang 010; Mingzhen Li 001; Guangming Tan; Weile Jia (CCF Trans. High Perform. Comput., 2025)

Scaling Neural-Network-Based Molecular Dynamics with Long-Range Electrostatic Interactions to 51 Nanoseconds per Day. - Jianxiong Li; Beining Zhang; Mingzhen Li; Siyu Hu; Jinzhe Zeng; Lijun Liu; Guojun Yuan; Zhan Wang 003; Guangming Tan; Weile Jia (CoRR, 2025)

TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System. - Zheng Wei; Jing Xing; Yida Gu; Wenjing Huang; Dong Dai; Guangming Tan; Dingwen Tao (CoRR, 2025)

29-Billion Atoms Molecular Dynamics Simulation With Ab Initio Accuracy on 35 Million Cores of New Sunway Supercomputer. - Xun Wang 010; Xiangyu Meng 005; Zhuoqiang Guo; Mingzhen Li 001; Lijun Liu; Mingfan Li; Qian Xiao; Tong Zhao; Ninghui Sun; Guangming Tan; Weile Jia (IEEE Trans. Computers, 2025)

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism. - Zedong Liu; Shenggan Cheng; Guangming Tan; Yang You 001; Dingwen Tao (CoRR, 2025)