e-Science Technology & Application 2019 Vol. Issue 5

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科研信息化技术与应用
e-Science Technology & Application

Year 2019

Issue 5

shu ju yu ji suan shi ke ji chuang xin de ju da qu dong li (数据与计算是科技创新的巨大驱动力)

LI Shushen

.................. page:1

The Data and Computing Platform is An Important Infrastructure Which Drives Modern Scientific Research Development (数据与计算平台是驱动当代科学研究发展的重要基础设施)

Liao Fangyu, Hong Xuehai, Wang Yang, Chu Dawei, Computer Network Information Center, Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Chinese Academy of Sciences

.................. page:2-10

High Performance Computing Framework Software——SC＿Tangram (高性能计算框架软件——SC＿Tangram)

Chi Xuebin, Zhao Lian, Wang Shanshan, Zhang Jian, Jiang Jinrong, Computer Network Information Center, Chinese Academy of Sciences, University of Chinese Academy of Sciences

.................. page:11-21

A Brief Review of Theory and System Technologies for Big Data (大数据基础理论与系统关键技术浅析)

Hua Qiangsheng, Zheng Zhigao, Hu Zhenyu, Zhong Zhiman, Lin Changfu, Zhao Feng, Jin Hai, Shi Xuanhua, National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology

.................. page:22-34

Application-Driven Big Data and Artificial Intelligence Integration Platform Construction (应用驱动的大数据与人工智能融合平台建设)

Kang Bo, Meng Xiangfei, Xia Zijun, College of Intelligence and Computing, Tianjin University, National Supercomputer Center in Tianjin

.................. page:35-45

GPVis: A Scientific Visualization System for Large Scale Data (面向大规模数据的科学可视化系统GPVis)

Shan Guihua, Liu Jun, Li Guan, Gao Yang, Xu Tao, Tian Dong, Computer Network Information Center, Chinese Academy of Sciences, University of Chinese Academy of Sciences

.................. page:46-62

Angel~+: A Large-Scale Machine Learning Platform on Angel (Angel~+：基于Angel的分布式机器学习平台)

Zhang Zhipeng, Jiang Jiawei, Yu Lele, Cui Bin, Department of Computer Science & Key Laboratory of High Confidence Software Technologies (MOE), Peking University, Tencent

.................. page:63-72

Survey on Federated RDF Systems (联邦型RDF数据管理系统综述)

Peng Peng, Zou Lei, College of Computer Science and Electronic Engineering, Hunan University, Wangxuan Institute of Computer Technology, Peking University

.................. page:73-81

SKS: A Platform for Big Data Based Scientific Knowledge Graph (SKS：一种科技领域大数据知识图谱平台)

Zhou Yuanchun, Chang Qingling, Du Yi, Computer Network Information Center, Chinese Academy of Sciences, University of Chinese Academy of Sciences

.................. page:82-93

Big Data 3.0——The Key Technologies of Big Data in PostHadoop Era (大数据3.0——后Hadoop时代大数据的核心技术)

Liu Wanggen, Sun Yuanhao, Transwarp Technology (Shanghai)co, Ltd

.................. page:94-104

Paddle Paddle: An Open-Source Deep Learning Platformfrom Industrial Practice (飞桨：源于产业实践的开源深度学习平台)

Ma Yanjun, Yu Dianhai, Wu Tian, Wang Haifeng, Baidu Inc.

.................. page:105-115

Research on the Recent Development and Future Trends of Data Mid-End Technology (数据中台技术相关进展及发展趋势)

Su Meng, Jia Xishun, Du Xiaomeng, Gao Tiwei, Beijing PERCENT Information Technology Co., Ltd.

.................. page:116-126

Frontiers of Data & Computing (数据与计算发展前沿)

.................. page:127

shu ju yu ji suan fa zhan qian yan zheng gao qi shi (《数据与计算发展前沿》征稿启事)

.................. page:128

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