基本信息

谭光明 男 博导 计算技术研究所
现任中科院计算技术研究所研究员、高性能计算机研究中心主任。国家杰出青年基金获得者,参与了曙光系列高性能计算机包括曙光4000/5000/6000/7000系统研制。发表学术论文100余篇,包括CCF A类会议(SC、PPoPP、PLDI)和Nature子刊等,曾任IEEE TPDS编委和多个国际会议的程序委员。曾获得国家科技进步奖二等奖、北京市科技进步奖一等奖、卢嘉锡青年人才奖和全国向上向善好青年称号。


电子邮件:tgm@ict.ac.cn
通信地址:科学院南路6号
邮政编码:100190 

研究领域

并行算法、编程和体系结构

招生信息

   
招生方向
高性能计算
并行编程
体系结构

教育背景

2006-08--2007-08   University of Delaware   访问学者
2002-09--2008-03   中国科学院计算技术研究所   工学博士
1998-09--2002-07   湘潭大学   理学学士

专利与奖励


奖励信息
(1) 国产安全可控先进计算系统关键技术及应用, 一等奖, 省级, 2021
(2) 曙光高效能计算机系统关键技术及应用, 二等奖, 国家级, 2013
专利成果
( 1 ) 一种数据分组交换系统和方法, 发明专利, 2022, 第 4 作者, 专利号: CN114257557A

( 2 ) 减少光器件数量的光神经网络芯片构建方法及系统, 发明专利, 2022, 第 5 作者, 专利号: CN114004353A

( 3 ) 用于从遥感图像中识别不透水面的模型及训练模型的方法, 发明专利, 2022, 第 4 作者, 专利号: CN113963271A

( 4 ) 一种用于RDMA通信设备的DMA通信系统及方法, 发明专利, 2021, 第 1 作者, 专利号: CN113742267A

( 5 ) 一种用于基因相似性分析的加速装置、方法和计算机设备, 发明专利, 2021, 第 4 作者, 专利号: CN110990063B

( 6 ) 深度学习作业优先级调度方法及深度学习作业系统, 发明专利, 2021, 第 5 作者, 专利号: CN113568725A

( 7 ) 一种基于多级调度的纠删码系统恢复方法及系统, 发明专利, 2021, 第 3 作者, 专利号: CN113504875A

( 8 ) 基于负载感知的自适应粒度纠删码编解码加速方法及系统, 发明专利, 2021, 第 3 作者, 专利号: CN113504874A

( 9 ) GPU集群调度策略模拟方法及GPU集群模拟器, 发明专利, 2021, 第 5 作者, 专利号: CN113504966A

( 10 ) 一种RDMA通信加速集合通信的方法及系统, 发明专利, 2021, 第 1 作者, 专利号: 202110874526 .2

( 11 ) 一种用于分布式训练的通信方法及系统, 发明专利, 2021, 第 1 作者, 专利号: 202110874507 .X

( 12 ) 基于循环查询扩展的多监督医学图像检索方法和系统, 发明专利, 2021, 第 3 作者, 专利号: CN113127661A

( 13 ) 数据发送、重传控制方法及系统、存储介质及电子设备, 发明专利, 2021, 第 4 作者, 专利号: 202110799123 .6

( 14 ) 一种光子矩阵向量乘法器, 发明专利, 2021, 第 10 作者, 专利号: CN112988113A

( 15 ) 具有业务快速恢复功能的容器组更新方法及系统, 发明专利, 2021, 第 1 作者, 专利号: CN111290767B

( 16 ) 一种激光器和PLC耦合对准系统及对准方法, 发明专利, 2021, 第 8 作者, 专利号: CN112909732A

( 17 ) 网络模拟器及其动态切换方法, 发明专利, 2021, 第 2 作者, 专利号: 202110535758 .5

( 18 ) 用于提高网络模拟器性能的时间同步方法, 发明专利, 2021, 第 1 作者, 专利号: 202110484747 .9

( 19 ) 一种RDMA通信设备的上下文访问方法及系统, 发明专利, 2021, 第 6 作者, 专利号: CN112559436A

( 20 ) 融合神经元模型、神经网络结构及训练、推理方法、存储介质和设备, 发明专利, 2021, 第 7 作者, 专利号: CN112529166A

( 21 ) 一种基于近内存计算结构的基因比对加速方法和系统, 发明专利, 2020, 第 1 作者, 专利号: CN111863139A

( 22 ) 基因比对的细粒度负载特征分析方法、装置与存储介质, 发明专利, 2020, 第 1 作者, 专利号: CN111798923A

( 23 ) 一种基于全局链路负载均衡的网络链路控制方法和系统, 专利授权, 2020, 第 5 作者, 专利号: CN108965153B

( 24 ) 一种用于可调谐光装置的控制装置与方法, 专利授权, 2020, 第 4 作者, 专利号: CN108966056B

( 25 ) 一种DNA活字印刷机、基于DNA的数据存储设备和方法, 发明专利, 2020, 第 9 作者, 专利号: CN111680797A

( 26 ) 一种基于核磁共振结构影像加权的决策支持方法及系统, 发明专利, 2020, 第 3 作者, 专利号: CN111652843A

( 27 ) 一种基于作业部署信息的链路互连方法和系统, 专利授权, 2020, 第 5 作者, 专利号: CN109067662B

( 28 ) 面向基因比对的细粒度并行负载特征抽取分析方法及系统, 发明专利, 2020, 第 1 作者, 专利号: CN111584011A

( 29 ) 一种针对大数据基因测序文件的压缩处理方法, 发明专利, 2020, 第 2 作者, 专利号: CN111370070A

( 30 ) 一种针对大数据基因测序文件的快速划分方法, 发明专利, 2020, 第 2 作者, 专利号: CN111326216A

( 31 ) 一种高分辨率遥感图像变化检测方法、系统及装置, 发明专利, 2020, 第 4 作者, 专利号: CN111259853A

( 32 ) 一种基于微容器及云函数的轻量虚拟化裁剪方法, 发明专利, 2020, 第 4 作者, 专利号: CN111158855A

( 33 ) 一种针对大数据基因组比对文件排序的并行加速方法, 发明专利, 2020, 第 2 作者, 专利号: CN110767265A

( 34 ) 基于多模态深度学习的病理分类方法及系统, 专利授权, 2019, 第 3 作者, 专利号: CN110298383A

( 35 ) 利用AMD GPU汇编指令加速的单精度矩阵乘优化方法和系统, 发明专利, 2019, 第 1 作者, 专利号: CN110147248A

( 36 ) 一种基于光电混合交换网络的MPI应用加速系统及方法, 专利授权, 2019, 第 7 作者, 专利号: CN110113271A

( 37 ) 一种用于流计算的FPGA网络及流计算系统与方法, 发明专利, 2019, 第 5 作者, 专利号: CN110069441A

( 38 ) 一种面向链路资源的自适应互连与路由控制方法和系统, 发明专利, 2019, 第 5 作者, 专利号: CN109842553A

( 39 ) 一种光学神经网络处理器及其计算方法, 专利授权, 2019, 第 5 作者, 专利号: CN109784485A

( 40 ) 一种光学神经网络处理器及其训练方法, 专利授权, 2019, 第 5 作者, 专利号: CN109784486A

( 41 ) 一种面向基因比对算法的加速装置, 专利授权, 2019, 第 4 作者, 专利号: CN109785905A

( 42 ) 一种路由安全检测方法和系统, 专利授权, 2019, 第 6 作者, 专利号: CN109558727A

( 43 ) 一种光神经元结构和包含该结构的神经网络处理系统, 专利授权, 2019, 第 5 作者, 专利号: CN109376855A

( 44 ) 一种面向多轨网络的光路交换方法和系统, 发明专利, 2019, 第 5 作者, 专利号: CN109257663A

( 45 ) 针对应用程序的反馈优化方法, 专利授权, 2019, 第 2 作者, 专利号: CN109189478A

( 46 ) 一种网络远程读写二级存储的系统及方法, 专利授权, 2019, 第 5 作者, 专利号: CN109117386A

( 47 ) 针对异构计算机体系结构的算法自动调优方法, 专利授权, 2018, 第 1 作者, 专利号: CN108920412A

( 48 ) 一种应用建模及性能预测方法, 专利授权, 2018, 第 2 作者, 专利号: CN108846248A

( 49 ) GPU FFMA指令在双发射模式下的通量测试方法, 专利授权, 2017, 第 2 作者, 专利号: CN107066706A

( 50 ) 一种逆向解析GPU指令的方法及系统, 专利授权, 2017, 第 1 作者, 专利号: CN106843993A

( 51 ) 一种可扩展的分布式GPU加速方法及装置, 发明专利, 2017, 第 2 作者, 专利号: CN106846236A

( 52 ) 一种利用NVIDIA Kepler GPU汇编指令加速的卷积优化方法及系统, 专利授权, 2017, 第 2 作者, 专利号: CN106846235A

( 53 ) 一种可扩展的网络协议解析系统及方法, 专利授权, 2017, 第 2 作者, 专利号: CN106850559A

( 54 ) 一种用于图像分析的高性能计算框架方法及系统, 发明专利, 2017, 第 1 作者, 专利号: CN106815070A

( 55 ) 基于NVIDIA Kepler GPU汇编指令的单精度矩阵乘优化方法与系统, 发明专利, 2017, 第 1 作者, 专利号: CN106681694A

( 56 ) 一种确定应用程序计算逻辑的方法及装置, 专利授权, 2016, 第 1 作者, 专利号: CN105389194A

( 57 ) 一种多核处理器、数据同步的方法及装置, 发明专利, 2015, 第 1 作者, 专利号: CN105094993A

工作经历

   
工作简历
2014-10~现在, 中国科学院计算技术研究所, 研究员
2011-11~2014-10,计算体系结构国家重点实验室, 副研究员
2008-03~2014-10,中国科学院计算技术研究所, 副研究员

出版信息

   
发表论文
[1] Yewen Li, Xueqi Li, Ruihao Gao, Wanqi Liu, Guangming Tan. NvWa: Enhancing Sequence Alignment Accelerator Throughput via Hardware Scheduling. HPCAnull. 2023, [2] 刘涛, 赵曈, 谭光明, 贾伟乐. HPC+AI驱动的第一性原理科学智能计算平台. 数据与计算发展前沿[J]. 2023, 5(3): 13-28, http://lib.cqvip.com/Qikan/Article/Detail?id=7109877308.
[3] Siyu Hu, Wentao Zhang, Weile Jia, Guangming Tan. RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy. AAAInull. 2023, [4] Shaofeng Yang, Xiandong Liu, Yunting Wang, Xin He, Guangming Tan. Fast All-Pairs Shortest Paths Algorithm in Large Sparse Graph. ICSnull. 2023, [5] 蔡迪, 洪学海, 肖俊敏, 谭光明. 大规模海洋数据同化的并行优化. 计算机研究与发展[J]. 2023, 60(5): 1177-1190, http://lib.cqvip.com/Qikan/Article/Detail?id=7109589201.
[6] Zhen Du, Jiajia Li, Yinshan Wang, Xueqi Li, Guangming Tan, Ninghui Sun. AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices. International Conference for High Performance Computing, Networking, Storage, and Analysisnull. 2022, https://dl.acm.org/doi/abs/10.5555/3571885.3571972.
[7] 谭光明. 高性能计算中的性能工程问题. 数值计算与计算机应用. 2022, 43(4): 343-362, http://lib.cqvip.com/Qikan/Article/Detail?id=7108572004.
[8] Xie, Zhen, Tan, Guangming, Liu, Weifeng, Sun, Ninghui. A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS[J]. 2022, 33(1): 159-175, http://dx.doi.org/10.1109/TPDS.2021.3090328.
[9] Hu, Zhongzhe, Xiao, Junmin, Deng, Zheye, Li, Mingyi, Zhang, Kewei, Zhang, Xiaoyang, Meng, Ke, Sun, Ninghui, Tan, Guangming. MegTaiChi: Dynamic Tensor-based Memory Management Optimization for DNN Training. The 36th ACM International Conference on Supercomputing (ICS '22)null. 2022, [10] Hu, Zhongzhe, Xiao, Junmin, Sun, Ninghui, Tan, Guangming. Fast and accurate variable batch size convolution neural network training on large scale distributed systems. Concurrency and Computation: Practice and Experience[J]. 2022, [11] Xiao, Junmin, Pang, Yunfei, Xue, Qing, Shui, Chaoyang, Meng, Ke, Ma, Hui, Li, Mingyi, Zhang, Xiaoyang, Tan, Guangming. W-Cycle SVD: A Multilevel Algorithm for Batched SVD on GPUs. The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC '22)null. 2022, [12] 康宁, 王展, 杨帆, 马潇潇, 马振龙, 元国军, 谭光明. csRNA: Connection-Scalable RDMA NIC Architecture in Datacenter Environment. International Conference on Computer Design (ICCD 2022))null. 2022, [13] Xiao, Junmin, Xue, Qing, Ma, Hui, Zhang, Xiaoyang, Tan, Guangming. POSTER: A W-cycle Algorithm for Efficient Batched SVD on GPUs. The 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP '22)null. 2022, [14] Zhang, Xiaoyang, Xiao, Junmin, Tan, Guangming. I/O Lower Bounds for Auto-tuning of Convolutions in CNNs. The 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP '21)null. 2021, http://arxiv.org/abs/2012.15667.
[15] 水超洋, 于献智, 王银山, 谭光明. 国产异构系统上HPL的优化与分析. 软件学报[J]. 2021, 32(8): 2319-2328, http://lib.cqvip.com/Qikan/Article/Detail?id=7105477912.
[16] 谢震, 谭光明, 孙凝晖. 基于PPR模型的稀疏矩阵向量乘及卷积性能优化研究. 计算机研究与发展[J]. 2021, 58(3): 445-457, http://lib.cqvip.com/Qikan/Article/Detail?id=7104048022.
[17] 孙凝晖, 张玉成, 王竑晟, 刘子辰, 陈海华, 谭光明. 农业模拟器:用智能技术打通黑土地保护的数据流. 中国科学院院刊[J]. 2021, 36(10): 1165-1174, http://lib.cqvip.com/Qikan/Article/Detail?id=7105795197.
[18] En Shao, Guangming Tan, Zhan Wang, Guojun Yuan, Zheng Cao, Ninghui Sun. A New Optoelectronic Hybrid Network Based on Scheduling Optimization of Optical Links. IEEE TRANSACTIONS ON COMPUTERS[J]. 2021, 70(6): 863-876, http://dx.doi.org/10.1109/TC.2021.3054308.
[19] Yang, Mei, Fan, Yanhui, Wu, ZhiYong, Feng, Zhendong, Zhang, Qiangzu, Han, Shunhua, Zhang, Zhonghai, Li, Xu, Xue, Yiqing, Li, Xiaoling, Hu, Meixia, Li, Jieqing, Li, Weiping, Gao, Hongfei, Yang, Ciqiu, Zhang, Chunming, Zhang, Liulu, Zhu, Teng, Cheng, Minyi, Ji, Fei, Xu, Juntao, Cui, Hening, Tan, Guangming, Zhang, Michael Q, Liang, Changhong, Liu, Zaiyi, Song, YouQiang, Niu, Gang, Wang, Kun. Rare variants in the germline genome holistically determine receptor-independent Her2 signaling pathway activation and immune suppression, shaping pathological type and risk of HER2-negative breast cancer. CANCER RESEARCH[J]. 2021, 81(4): https://www.webofscience.com/wos/woscc/full-record/WOS:000618737701207.
[20] 韩银和, 王展, 郝沁汾, 邵恩, 曹华伟, 尹龙祥, 李超, 谭光明, 徐勇军, 孙凝晖. 构建基于OODA的专用智能计算机系统. 中国计算机学会通讯[J]. 2021, 17(1): 10-16, https://dl.ccf.org.cn/article/articleDetail.html?id=5269586609965056&type=xhtx_thesis.
[21] Tan, Guangming, Shui, Chaoyang, Wang, Yinshan, Yu, Xianzhi, Yan, Yujin. Optimizing the LINPACK Algorithm for Large-Scale PCIe-Based CPU-GPU Heterogeneous Systems. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS[J]. 2021, 32(9): 2367-2380, http://dx.doi.org/10.1109/TPDS.2021.3067731.
[22] 张驭洲, 曹武迪, 卜景德, 谭光明, 吉青. GROMACS 2020在ROCm平台上的移植与优化. 计算机工程与科学[J]. 2021, 43(11): 1901-1909, http://lib.cqvip.com/Qikan/Article/Detail?id=7106010531.
[23] Zihao Yang, Zhaobin Cao, Xiaohua Wan, Fa Zhang, Guangming Tan. Spatio-temporal features processing network for change detection in remote sensing images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS2021)null. 2021, [24] 朱泓睿, 元国军, 姚成吉, 谭光明, 王展, 户忠哲, 张晓扬, 安学军. 分布式深度学习训练网络综述. 计算机研究与发展[J]. 2021, 58(1): 98-115, https://nxgp.cnki.net/kcms/detail?v=3uoqIhG8C46NmWw7YpEsKMypi3qVj28LEUDxQXHYyS3fbyEOrIfBzHF7AMGAPpf70KKd8Fed1uY1ZVcVqZ0BEX6CwcuSfFTT&uniplatform=NZKPT.
[25] Xue, Wei, Fu, Haohuan, Jia, Weile, Tan, Guangming. Editorial for the special issue on large-scale AI in classical HPC environment and AI for science. CCF TRANSACTIONS ON HIGH PERFORMANCE COMPUTINGnull. 2021, 3(3): 221-223, [26] Zihao Wang, Xiaohua Wan, Zhiyong Liu, Qianshuo Fan, Fa Zhang, Guangming Tan. A multi-GPU design for large size cryo-EM 3D reconstruction. 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS2021)null. 2021, [27] Zhanyuan Di, En Shao, Guangming Tan. High-performance Migration Tool for Live Container in a Workflow. INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING[J]. 2021, 49(5): 658-670, http://dx.doi.org/10.1007/s10766-021-00697-z.
[28] Xiao, Junmin, Zhang, Guizhao, Gao, Yanan, Hong, Xuehai, Tan, Guangming. Fast Data-Obtaining Algorithm for Data Assimilation with Large Data Set. INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING[J]. 2020, 48(4): 750-770, https://www.webofscience.com/wos/woscc/full-record/WOS:000529493100001.
[29] Yue, Yanzhu, Zong, Weijian, Li, Xin, Li, Jinghang, Zhang, Youdong, Wu, Runlong, Liu, Yazui, Cui, Jiahao, Wang, Qianhao, Bian, Yunkun, Yu, Xianhong, Liu, Yao, Tan, Guangming, Zhang, Yunfeng, Zhao, Gang, Zhou, Bin, Chen, Liangyi, Xiao, Wenlei, Cheng, Heping, He, Aibin. Long-term, in toto live imaging of cardiomyocyte behaviour during mouse ventricle chamber formation at single-cell resolution. NATURE CELL BIOLOGY[J]. 2020, 22(3): 332-+, http://dx.doi.org/10.1038/s41556-020-0475-2.
[30] Shui, Chaoyang, Yu, Xianzhi, Yan, Yujin, Wang, Yinshan, Meng, Ke, Tan, Guangming, ACM. Revisiting Linpack Algorithm on Large-scale CPU-GPU Heterogeneous Systems. PROCEEDINGS OF THE 25TH ACM SIGPLAN SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING (PPOPP '20)null. 2020, 411-412, http://dx.doi.org/10.1145/3332466.3374530.
[31] Zhang, Xiaoyang, Xiao, Junmin, Tan, Guangming. Brief Announcement: Communication Lower Bounds of Convolutions in CNNs. The 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA '20)null. 2020, [32] 管志斌, 肖俊敏, 季统凯, 洪学海, 谭光明, 马岩. 不同矩阵分解方法对海洋数据同化的影响. 计算机科学与探索[J]. 2019, 13(1): 147-157, http://lib.cqvip.com/Qikan/Article/Detail?id=7001114929.
[33] 王元戎, 曾平, 臧大伟, 谭光明, 孙凝晖. Gene Panel流程的并行设计与优化研究. 计算机学报[J]. 2019, 42(11): 2429-2446, http://lib.cqvip.com/Qikan/Article/Detail?id=7100202302.
[34] Zhang, Xiaoya, Peng, Xiaohong, Han, Chengsheng, Zhu, Wenzhen, Wei, Lisi, Zhang, Yulin, Wang, Yi, Zhang, Xiuqin, Tang, Hao, Zhang, Jianshe, Xu, Xiaojun, Feng, Fengping, Xue, Yanhong, Yao, Erlin, Tan, Guangming, Xu, Tao, Chen, Liangyi. A unified deep-learning network to accurately segment insulin granules of different animal models imaged under different electron microscopy methodologies. PROTEIN & CELL[J]. 2019, 10(4): 306-311, http://lib.cqvip.com/Qikan/Article/Detail?id=7001745325.
[35] Shao, En, Tan, Guangming, Wang, Zhan, Yuan, Guojun, Sun, Ninghui, IEEE. A new traffic offloading method with slow switching optical device in exascale computer. 2019 IEEE 37TH INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD 2019)null. 2019, 138-146, [36] Liu, Hong, Han, Maozhen, Li, Shuai Cheng, Tan, Guangming, Sun, Shiwei, Hu, Zhiqiang, Yang, Pengshuo, Wang, Rui, Liu, Yawen, Chen, Feng, Peng, Jianjun, Peng, Hong, Song, Hongxing, Xia, Yang, Chu, Liqun, Zhou, Quan, Guan, Feng, Wu, Jing, Bu, Dongbo, Ning, Kang. Resilience of human gut microbial communities for the long stay with multiple dietary shifts. GUT. 2019, 68(12): 2254-+, [37] Liu, Junhong, He, Xin, Liu, Weifeng, Tan, Guangming. Register-Aware Optimizations for Parallel Sparse Matrix-Matrix Multiplication. INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING[J]. 2019, 47(3): 403-417, http://dx.doi.org/10.1007/s10766-018-0604-8.
[38] Xiao, Junmin, Wang, Shijie, Wan, Weiqiang, Hong, Xuehai, Tan, Guangming. S-EnKF: Co-designing for Scalable Ensemble Kalman Filter. PROCEEDINGS OF THE 24TH SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING (PPOPP '19)null. 2019, 15-26, http://dx.doi.org/10.1145/3293883.3295722.
[39] 万威强, 肖俊敏, 洪学海, 谭光明. 面向大规模海洋数据同化算法的并行实现及优化. 计算机工程与科学[J]. 2019, 41(5): 765-772, http://lib.cqvip.com/Qikan/Article/Detail?id=7002009155.
[40] Zhang, Xiaoyang, Xiao, Junmin, Zhang, Xiaobin, Hu, Zhongzhe, Zhu, Hongrui, Tian, Zhongbo, Tan, Guangming. Tensor Layout Optimization of Convolution for Inference on Digital Signal Processor. ISPA '19: Proceedings of the 17th IEEE International Symposium on Parallel and Distributed Processing with Applicationsnull. 2019, [41] Meng, Ke, Li, Jiajia, Tan, Guangming, Sun, Ninghui, ACM. A Pattern Based Algorithmic Autotuner for Graph Processing on GPUs. PROCEEDINGS OF THE 24TH SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING (PPOPP '19)null. 2019, 201-213, http://dx.doi.org/10.1145/3293883.3295716.
[42] Hu, Zhongzhe, Xiao, Junmin, Tian, Zhongbo, Zhang, Xiaoyang, Zhu, Hongrui, Yao, Chengji, Sun, Ninghui, Tan, Guangming. A Variable Batch Size Strategy for Large Scale Distributed DNN Training. ISPA '19: Proceedings of the 17th IEEE International Symposium on Parallel and Distributed Processing with Applicationsnull. 2019, [43] 孙凝晖, 谭光明. 高性能计算机发展与政策. 中国科学院院刊[J]. 2019, 609-616, http://lib.cqvip.com/Qikan/Article/Detail?id=75898988504849574854484852.
[44] Xie, Zhen, Tan, Guangming, Liu, Weifeng, Sun, Ninghui, ACM. IA-SpGEMM An Input-aware Auto-tuning Framework for Parallel Sparse Matrix-Matrix Multiplication. INTERNATIONAL CONFERENCE ON SUPERCOMPUTING (ICS 2019)null. 2019, 94-105, http://dx.doi.org/10.1145/3330345.3330354.
[45] Tan, Guangming, Gao, Guang R. Editorial for the special issue on innovations in supercomputing techniques. CCF TRANSACTIONS ON HIGH PERFORMANCE COMPUTINGnull. 2019, 1(2): 61-62, [46] 元国军, 肖鹏, 姜涛, 王展, 杨帆, 曹政, 张佩珩, 谭光明, 孙凝晖. 基于WSS的动态可重构光网络. 高技术通讯[J]. 2019, 29(2): 99-109, http://lib.cqvip.com/Qikan/Article/Detail?id=7001388875.
[47] Tan, Guangming, Liu, Junhong, Li, Jiajia. Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture. ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE[J]. 2018, 44(4): http://dx.doi.org/10.1145/3218823.
[48] Wang, Yuanrong, Li, Xueqi, Zang, Dawei, Tan, Guangming, Sun, Ninghui, ACM. Accelerating FM-index Search for Genomic Data Processing. PROCEEDINGS OF THE 47TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSINGnull. 2018, [49] Chi, Hao, Liu, Chao, Yang, Hao, Zeng, WenFeng, Wu, Long, Zhou, WenJing, Wang, RuiMin, Niu, XiuNan, Ding, YueHe, Zhang, Yao, Wang, ZhaoWei, Chen, ZhenLin, Sun, RuiXiang, Liu, Tao, Tan, GuangMing, Dong, MengQiu, Xu, Ping, Zhang, PeiHeng, He, SiMin. Comprehensive identification of peptides in tandem mass spectra using an efficient open search engine. NATURE BIOTECHNOLOGY[J]. 2018, 36(11): 1059-+, http://dx.doi.org/10.1038/nbt.4236.
[50] Liu Junhong, He Xin, Liu Weifeng, Tan Guangming, Assoc Comp Machinery. Register-based Implementation of the Sparse General Matrix-Matrix Multiplication on GPUs. PPOPP'18: PROCEEDINGS OF THE 23RD PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMINGnull. 2018, 407-408, http://dx.doi.org/10.1145/3178487.3178529.
[51] Liu, Junhong, Tan, Guangming, Luo, Yulong, Li, Jiajia, Mo, Zeyao, Sun, Ninghui. An Autotuning Protocol to Rapidly Build Autotuners. ACM TRANSACTIONS ON PARALLEL COMPUTING[J]. 2018, 5(2): [52] Yuan, Lufeng, Yao, Erlin, Tan, Guangming. Automated and precise event detection method for big data in biomedical imaging with support vector machine. COMPUTER SYSTEMS SCIENCE AND ENGINEERING[J]. 2018, 33(2): 105-114, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000452247800006.
[53] Xiao, Junmin, Li, Shigang, Wu, Baodong, Zhang, He, Li, Kun, Yao, Erlin, Zhang, Yunquan, Tan, Guangming. Communication-Avoiding for Dynamical Core of Atmospheric General Circulation Model. PROCEEDINGS OF THE 47TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSINGnull. 2018, [54] Zhou, Keren, Tan, Guangming, Zhou, Wei. Quadboost: A Scalable Concurrent Quadtree. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS[J]. 2018, 29(3): 673-686, https://www.webofscience.com/wos/woscc/full-record/WOS:000425173200014.
[55] Tang, Hao, Yao, Erlin, Tan, Guangming, Guo, Xiuhua, Zhou, ZH, Yang, Q, Gao, Y, Zheng, Y. A Fast and Accurate 3D Fine-Tuning Convolutional Neural Network for Alzheimer's Disease Diagnosis. ARTIFICIAL INTELLIGENCE (ICAI 2018)null. 2018, 888: 115-126, [56] Junhong Liu, Xin He, Weifeng Liu, Guangming Tan. Register-based Implementation of the Sparse General Matrix-Matrix Multiplication on GPUs. ACM SIGPLAN NOTICESnull. 2018, 53(1): 407-408, [57] Li Xueqi, Tan Guangming, Wang Bingchen, Sun Ninghui, Assoc Comp Machinery. High-Performance Genomic Analysis Framework with In-Memory Computing. PPOPP'18: PROCEEDINGS OF THE 23RD PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMINGnull. 2018, 317-+, http://dx.doi.org/10.1145/3178487.3178511.
[58] Zhang, Xiuxia, Tan, Guangming, Xue, Shuangbai, Li, Jiajia, Zhou, Keren, Chen, Mingyu. Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning. ACM SIGPLAN NOTICESnull. 2017, 52(8): 31-43, [59] Li Xueqi, Tan Guangming, Zhang Chunming, Li Xu, Zhang Zhonghai, Sun Ninghui, IEEE. Quantifying and Mitigating Computational Inefficiency of Genomics Data Analysis. 2017 19TH IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS (HPCC) / 2017 15TH IEEE INTERNATIONAL CONFERENCE ON SMART CITY (SMARTCITY) / 2017 3RD IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (DSS)null. 2017, 262-269, http://dx.doi.org/10.1109/HPCC-SmartCity-DSS.2017.34.
[60] Yin, Zekun, Lan, Haidong, Tan, Guangming, Lu, Mian, Vasilakos, Athanasios V, Liu, Weiguo. Computing Platforms for Big Biological Data Analytics: Perspectives and Challenges. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL[J]. 2017, 15: 403-411, http://dx.doi.org/10.1016/j.csbj.2017.07.004.
[61] Guangming Tan. A Performance Analysis Framework for Exploiting GPU Microarchitectural Capability. International Conference on Supercomputing. 2017, [62] Guangming Tan. Understanding GPU Microarchitectureto Achieve Bare-Metal Performance Tuning. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. 2017, [63] 徐志伟, 陈明宇, 詹剑锋, 熊劲, 谭光明. 《面向EB级数据并发处理的新型系统结构设计及评价方法》2013年度报告. 科技创新导报[J]. 2016, 13(9): 167-168, http://lib.cqvip.com/Qikan/Article/Detail?id=669805508.
[64] 逄仁波, 张云泉, 谭光明, 徐建良, 贾海鹏, 解庆春. 边缘海静力数值预报模式并行算法研究. 计算机科学[J]. 2016, 43(1): 14-17,29, http://lib.cqvip.com/Qikan/Article/Detail?id=667766682.
[65] Tan, Guangming, Zhang, Chunming, Tang, Wen, Zhang, Peiheng, Sun, Ninghui. Accelerating Irregular Computation in Massive Short Reads Mapping on FPGA Co-Processor. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS[J]. 2016, 27(5): 1253-1264, https://www.webofscience.com/wos/woscc/full-record/WOS:000374238100002.
[66] Guangming Tan. Graphine: Programming Graph-Parallel Computation of Large Natural Graphs on Multicore Cluster. IEEE Transactions on Parallel and Distributed Systems. 2016, [67] Yan, Jie, Tan, Guangming, Mo, Zeyao, Sun, Ninghui. Graphine: Programming Graph-Parallel Computation of Large Natural Graphs for Multicore Clusters. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS[J]. 2016, 27(6): 1647-1659, https://www.webofscience.com/wos/woscc/full-record/WOS:000376106400008.
[68] 张佩珩, 卜东波, 熊劲, 谭光明. “面向深度测序大数据量的计算模型与体系结构研究”立项报告. 科技创新导报[J]. 2016, 13(11): 163-163, http://lib.cqvip.com/Qikan/Article/Detail?id=669818304.
[69] Luo Yulong, Tan Guangming, Mo Zeyao, Sun Ninghui, ACM. FAST: A Fast Stencil Autotuning Framework Based on an Optimal-solution Space Model. PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON SUPERCOMPUTING (ICS'15)null. 2015, 187-196, http://dx.doi.org/10.1145/2751205.2751214.
[70] Yan Jie, Tan Guangming, Sun Ninghui, IEEE. Study on Partitioning Real-world Directed Graphs of Skewed Degree Distribution. 2015 44TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING (ICPP)null. 2015, 699-708, [71] JieYan, Guangming Tan, Xiuxia Zhang, ErlinYao, Ninghui Sun. vLock: Lock Virtualization Mechanism for Exploiting Fine-grained Parallelism in Graph Traversal Algorithms. Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation and Optimization (CGO 2013) :. 2015, 141-150, [72] Yao, Erlin, Zhang, Jiutian, Chen, Mingyu, Tan, Guangming, Sun, Ninghui. Detection of soft errors in LU decomposition with partial pivoting using algorithm-based fault tolerance. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS[J]. 2015, 29(4): 422-436, https://www.webofscience.com/wos/woscc/full-record/WOS:000362996700003.
[73] 赵喜全, 李旭, 吕慧伟, 谭光明. KSI:面向TB级别的DNA序列匹配软件库. 高技术通讯[J]. 2015, 997-1004, http://lib.cqvip.com/Qikan/Article/Detail?id=668281313.
[74] Tan, Guangming, Zhang, Chunming, Wang, Wendi, Zhang, Peiheng. SuperDragon: A Heterogeneous Parallel System for Accelerating 3D Reconstruction of Cryo-Electron Microscopy Images. ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS[J]. 2015, 8(4): https://www.webofscience.com/wos/woscc/full-record/WOS:000363659000005.
[75] Wang Yuanrong, Li Qiangqiang, Tan Guangming, IEEE. Application Taxonomy via Algorithmic Commonality for Domain-specific Architecture Desgin. 2015 IEEE 22ND INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING (HIPC)null. 2015, 21-29, http://dx.doi.org/10.1109/HiPC.2015.35.
[76] 熬冉, 谭光明, 陈明宇. 基于多核平台无关属性的程序并行度分析工具. 高技术通讯[J]. 2015, 31-37, http://lib.cqvip.com/Qikan/Article/Detail?id=664380039.
[77] 李佳佳, 张秀霞, 谭光明, 陈明宇. 选择稀疏矩阵乘法最优存储格式的研究. 计算机研究与发展[J]. 2014, 51(4): 882-894, http://lib.cqvip.com/Qikan/Article/Detail?id=49020460.
[78] 骆裕龙, 谭光明, 孙凝晖. 面向软硬件协同设计的性能优化框架. 高技术通讯[J]. 2014, 1021-1028, http://lib.cqvip.com/Qikan/Article/Detail?id=663515923.
[79] Lu Huiwei, Tan Guangming, Chen Mingyu, Sun Ninghui, Liu X, ElBaz D, Hsu CH, Kang K, Chen W. Reducing Communication in Parallel Breadth-First Search on Distributed Memory Systems. 2014 IEEE 17TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE)null. 2014, 1261-1268, http://dx.doi.org/10.1109/CSE.2014.243.
[80] Yan, Jie, Tan, Guangming, Sun, Ninghui. Exploiting fine-grained parallelism in graph traversal algorithms via lock virtualization on multi-core architecture. JOURNAL OF SUPERCOMPUTING[J]. 2014, 69(3): 1462-1490, https://www.webofscience.com/wos/woscc/full-record/WOS:000342454300025.
[81] 汤文, 张春明, 谭光明, 张佩珩, 孙凝晖. 基于定制协处理器的基因重测序加速技术研究. 计算机研究与发展[J]. 2014, 51(9): 1980-1992, http://lib.cqvip.com/Qikan/Article/Detail?id=662178140.
[82] Chen Licheng, Huang Yongbing, Bao Yungang, Tan Guangming, Cui Zehan, Chen Mingyu, IEEE. A Study of Leveraging Memory Level Parallelism for DRAM System on Multi-Core/Many-Core Architecture. 2013 12TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2013)null. 2013, 1206-1215, [83] Li, Jiajia, Tan, Guangming, Chen, Mingyu, Sun, Ninghui. SMAT: An Input Adaptive Auto-Tuner for Sparse Matrix-Vector Multiplication. ACM SIGPLAN NOTICES[J]. 2013, 48(6): 117-126, https://www.webofscience.com/wos/woscc/full-record/WOS:000321865400012.
[84] Yan, Jie, Tan, GuangMing, Sun, NingHui. Optimizing Parallel S (n) Sweeps on Unstructured Grids for Multi-Core Clusters. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2013, 28(4): 657-670, https://www.webofscience.com/wos/woscc/full-record/WOS:000321566800009.
[85] Ao, Ran, Tan, Guangming, Chen, Mingyu, IEEE. ParaInsight: An assistant for quantitatively analyzing multi-granularity parallel region. 2013 IEEE 15TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS & 2013 IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (HPCC_EUC)null. 2013, 698-707, http://dx.doi.org/10.1109/HPCC.and.EUC.2013.103.
[86] Peng, Liu, Tan, Guangming, Kalia, Rajiv K, Nakano, Aiichiro, Vashishta, Priya, Fan, Dongrui, Zhang, Hao, Song, Fenglong. Scalability study of molecular dynamics simulation on Godson-T many-core architecture. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING[J]. 2013, 73(11): 1469-1482, http://dx.doi.org/10.1016/j.jpdc.2012.07.007.
[87] Tang Wen, Wang Wendi, Duan Bo, Zhang Chunming, Tan Guangming, Zhang Peiheng, Sun Ninghui, Singh S, Chow P. Accelerating Millions of Short Reads Mapping on a Heterogeneous Architecture with FPGA Accelerator. 2012 IEEE 20TH ANNUAL INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES (FCCM)null. 2012, 184-187, http://dx.doi.org/10.1109/FCCM.2012.39.
[88] Yao Erlin, Wang Rui, Chen Mingyu, Tan Guangming, Sun Ninghui, IEEE. A Case Study of Designing Efficient Algorithm-based Fault Tolerant Application for Exascale Parallelism. 2012 IEEE 26TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS)null. 2012, 438-448, [89] Guangming Tan. Scalability study of molecular dynamics simulation on Godson-Tmany-core architecture. Journal of Parallel and Distributed Computing. 2012, [90] Guangming Tan. An Optimized Large-Scale Hybrid DGEMM Design for CPUs and ATI GPUs. 26th ACM International Conference on Supercomputing(ICS). 2012, [91] Li Linchuan, Li Xingjian, Tan Guangming, Chen Mingyu, Zhang Peiheng, ACM SIGARCHUOA. Experience of Parallelizing cryo-EM 3D Reconstruction on a CPU-GPU Heterogeneous System. HPDC 11: PROCEEDINGS OF THE 20TH INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE DISTRIBUTED COMPUTINGnull. 2011, 195-204, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000291897200019.
[92] Peng, Liu, Nakano, Aiichiro, Tan, Guangming, Vashishta, Priya, Fan, Dongrui, Zhang, Hao, Kalia, Rajiv K, Song, Fenglong, ACM. Performance Analysis and Optimization of Molecular Dynamics Simulation on Godson-T Many-core Processor. PROCEEDINGS OF THE 2011 8TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS (CF 2011)null. 2011, http://dx.doi.org/10.1145/2016604.2016643.
[93] Guangming Tan. Fast Implementation of DGEMM on Fermi GPU. ACM/IEEE Supercomputing (SC). 2011, [94] Tan, GuangMing, Liu, Ping, Bu, DongBo, Liu, YanBing. Revisiting Multiple Pattern Matching Algorithms for Multi-Core Architecture. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2011, 26(5): 866-874, http://lib.cqvip.com/Qikan/Article/Detail?id=39210514.
[95] 涂登彪, 谭光明, 孙凝晖. 无锁同步的细粒度并行介度中心算法. 软件学报[J]. 2011, 22(5): 986-995, http://lib.cqvip.com/Qikan/Article/Detail?id=37582305.
[96] Tan, Guangming, Sreedhar, Vugranam C, Gao, Guang R. Analysis and performance results of computing betweenness centrality on IBM Cyclops64. JOURNAL OF SUPERCOMPUTING[J]. 2011, 56(1): 1-24, http://dx.doi.org/10.1007/s11227-009-0339-9.
[97] 李兴建, 谭光明, 郭子昱. GPU机群系统上加速EMAN(英文). 生物物理学报[J]. 2010, 600-605, http://lib.cqvip.com/Qikan/Article/Detail?id=34856003.
[98] Guangming Tan. Analysis and Performance Results of Computing Betwenness Centrality on IBM Cyclops64. The Journa of Supercomputing. 2009, [99] Tan Guangming, Guo Ziyu, Chen Mingyu, Meng Dan, Gschwind M, Nicolau A, Salapura V, Moreira J. Single-particle 3D Reconstruction from Cryo-Electron Microscopy Images on GPU. ICS'09: PROCEEDINGS OF THE 2009 ACM SIGARCH INTERNATIONAL CONFERENCE ON SUPERCOMPUTINGnull. 2009, 380-389, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000268247500037.
[100] Tan, Guangming, Sun, Ninghui, Gao, Guang R. Improving Performance of Dynamic Programming via Parallelism and Locality on Multicore Architectures. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS[J]. 2009, 20(2): 261-274, http://dx.doi.org/10.1109/TPDS.2008.78.
[101] Guangming Tan. A Parallel Algorithm for Computing Betweenness Centrality. 2009, [102] Tan, Guangming, Sreedhar, Vugranam C, Gao, Guang R, Amaral, JN. Just-In-Time Locality and Percolation for Optimizing Irregular Applications on a Manycore Architecture. LANGUAGES AND COMPILERS FOR PARALLEL COMPUTINGnull. 2008, 5335: 331-+, http://dx.doi.org/10.1007/978-3-540-89740-8_23.
[103] Tan Guangming, Fan Dongrui, Zhang Junchao, Russo Andrew, Gao Guang R, ACM. Experience on Optimizing Irregular Computation for Memory Hierarchy in Manycore Architecture. PPOPP'08: PROCEEDINGS OF THE 2008 ACM SIGPLAN SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMINGnull. 2008, 279-280, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000266619600035.
[104] Tan, G, Xu, L, Dai, Z, Fong, S, Sun, N. A study of architectural optimization methods in bioinformatics applications. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS[J]. 2007, 21(3): 371-384, http://dx.doi.org/10.1177/1094342007078175.
[105] Guangming Tan. Cache Oblivious Algorithms for Nonserial Polyadic Dynamic Programming. The Journal of Supercomputing. 2007, [106] Tan, Guangming, Feng, Shengzhong, Sun, Ninghui. Cache oblivious algorithms for nonserial polyadic programming. JOURNAL OF SUPERCOMPUTING[J]. 2007, 39(2): 227-249, https://www.webofscience.com/wos/woscc/full-record/WOS:000245006300007.
[107] Tan, Guangming, Sun, Ninghui, Gao, Guang R, ACM. A Parallel Dynamic Programming Algorithm on a Multi-core Architecture. SPAA'07: PROCEEDINGS OF THE NINETEENTH ANNUAL SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURESnull. 2007, 135-+, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000266371200017.
[108] Tan, Guangming, Peng, Liu, Feng, Shengzhong, Sun, Ninghui, Nagel, WE, Walter, WV, Lehner, W. Load balancing and parallel multiple sequence alignment with tree accumulation. EURO-PAR 2006 PARALLEL PROCESSING[J]. 2006, 4128: 1138-1147, http://www.corc.org.cn/handle/1471x/2378425.
[109] 徐琳, 李晓民, 谭光明, 刘新春, 卜东波, 冯圣中. 面向FPGA的RNA二级结构预测并行算法研究. 计算机学报[J]. 2006, 29(2): 233-238, http://lib.cqvip.com/Qikan/Article/Detail?id=21182019.
[110] Guangming Tan. Locality and Parallelism Optimization for Dynamic Programming Algorithm in Bioinformatics. ACM/IEEE Supercomputing (SC). 2006, [111] 谭光明, 徐琳, 周幼英, 冯圣中. 基于曙光4000A的BLAST并行算法. 计算机工程[J]. 2006, 32(10): 45-46,49, http://lib.cqvip.com/Qikan/Article/Detail?id=21851408.
[112] 戴正华, 张庆丹, 徐琳, 谭光明, 冯圣中. 基于SSE2的Smith-Waterman算法. 计算机工程与应用[J]. 2006, 42(11): 85-87, http://lib.cqvip.com/Qikan/Article/Detail?id=21666965.
[113] Tan, GuangMing, Xu, Lin, Bu, DongBo, Feng, ShengZhong, Sun, NingHui. Improvement of performance of MegaBlast algorithm for DNA sequence alignment. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2006, 21(6): 973-978, http://www.corc.org.cn/handle/1471x/2379234.
[114] 谭光明, 冯圣中. RNA二级结构预测中动态规划的优化和有效并行. 软件学报[J]. 2006, 17(7): 1501-1509, http://lib.cqvip.com/Qikan/Article/Detail?id=22276911.
[115] 冯圣中, 谭光明, 徐琳, 孙凝晖, 徐志伟. 曙光4000H生物信息处理专用计算机的高性能算法研究. 计算机研究与发展[J]. 2005, 42(6): 1053-1058, http://lib.cqvip.com/Qikan/Article/Detail?id=15707301.