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检索条件"主题词=Data Intensive Computing"
67 条 记 录,以下是21-30 订阅
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Modeling data Heterogeneity Using Big dataSpace Architecture  9th
Modeling Data Heterogeneity Using Big DataSpace Architecture
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9th International Conference on Advanced computing and Communication Technologies (ICACCT)
作者: Sheokand, Vishal Singh, Vikram Natl Inst Technol Dept Comp Engn Kurukshetra 136119 Haryana India
With the wide use of information expertise in advanced analytics, basically three characteristics of big data have been identified. These are volume, velocity and variety. The first of these two have enjoyed quite a l... 详细信息
来源: 评论
Design Issues of Big data Parallelisms  3rd
Design Issues of Big Data Parallelisms
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3rd International Conference on Information System Design and Intelligent Applications (INDIA)
作者: Mondal, Koushik Indian Inst Technol Indore Madhya Pradesh India
data intensive computing for Scientific Research needs effective tools for data capture, curate them for designing appropriate algorithms and multidimensional analysis for effective decision making for the society. Di... 详细信息
来源: 评论
All-Pairs: An Abstraction for data-intensive computing on Campus Grids
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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2010年 第1期21卷 33-46页
作者: Moretti, Christopher Bui, Hoang Hollingsworth, Karen Rich, Brandon Flynn, Patrick Thain, Douglas Univ Notre Dame Dept Comp Sci & Engn Notre Dame IN 46556 USA
Today, campus grids provide users with easy access to thousands of CPUs. However, it is not always easy for nonexpert users to harness these systems effectively. A large workload composed in what seems to be the obvio... 详细信息
来源: 评论
ParSA: High-throughput scientific data analysis framework with distributed file system
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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2015年 51卷 111-119页
作者: Zhang, Tao Sun, XiangZheng Xue, Wei Qiao, Nan Huang, Huang Shu, JiWu Zheng, Weimin Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China Intel Corp Beijing Peoples R China
Scientific data analysis and visualization have become the key component for nowadays large scale simulations. Due to the rapidly increasing data volume and awkward I/O pattern among high structured files, known seria... 详细信息
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Hierarchical Collective I/O Scheduling for High-Performance computing
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BIG data RESEARCH 2015年 第3期2卷 117-126页
作者: Liu, Jialin Zhuang, Yu Chen, Yong Texas Tech Univ Dept Comp Sci Lubbock TX 79409 USA
The non-contiguous access pattern of many scientific applications results in a large number of I/O requests, which can seriously limit the data-access performance. Collective I/O has been widely used to address this i... 详细信息
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A general accelerated R package using GPU
A general accelerated R package using GPU
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2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)
作者: Huang, Jie Zhuang, Bojin Su, Fei Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing Peoples R China
In this paper, we present cuLib, a R package that provides an easy-to-access interface for utilizing the computing power of NVIDIA GPU. The cuLib package aims to make GPU-based parallel programming easier, flexible an... 详细信息
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Anatomy of Functional Components of Healthcare Information System  8
Anatomy of Functional Components of Healthcare Information S...
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2015 Eighth International Conference on Internet computing for Science and Engineering (ICICSE)
作者: Ni, Jun Chen, Ying Sha, Jie Zhang, Minghuan Shanghai Sanda Univ Sch Informat Sci & Technol Big Data & Informat Res Lab Shanghai 201209 Peoples R China
The healthcare information system (HIS) becomes very important in today medical and healthcare services. Huge healthcare data with various types and structures are generated in a daily base. The processing and mining ... 详细信息
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Design and implementation of task scheduling strategies for massive remote sensing data processing across multiple data centers
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SOFTWARE-PRACTICE & EXPERIENCE 2014年 第7期44卷 873-886页
作者: Zhang, Wanfeng Wang, Lizhe Ma, Yan Liu, Dingsheng Chinese Acad Sci Inst Remote Sensing & Digital Earth Beijing 100864 Peoples R China China Univ Geosci Sch Comp Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
data intensive applications of remote sensing data processing are more and more widespread resulting from the evolutions in computer and network technologies. Especially, bags-of-tasks (BoTs) applications with a mass ... 详细信息
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PARALLEL PROCESSING OF MASSIVE REMOTE SENSING IMAGES IN A GPU ARCHITECTURE
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computing AND INFORMATICS 2014年 第1期33卷 197-217页
作者: Liu, Peng Yuan, Tao Ma, Yan Wang, Lizhe Liu, Dingsheng Yue, Shasha Kolodziej, Joanna Chinese Acad Sci Inst Remote Sensing & Digital Earth Beijing 100094 Peoples R China Cracow Univ Technol Inst Comp Sci PL-31155 Krakow Poland
Profiting from the development of space remote sensing technology, the amount of remote sensing image data obtained by satellite is increasing dramatically;however, how to deal with these data quickly and efficiently ... 详细信息
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Towards unified secure on- and off-line analytics at scale
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PARALLEL computing 2014年 第10期40卷 738-753页
作者: Coetzee, P. Leeke, M. Jarvis, S. Univ Warwick Dept Comp Sci Coventry CV4 7AL W Midlands England
data scientists have applied various analytic models and techniques to address the oft-cited problems of large volume, high velocity data rates and diversity in semantics. Such approaches have traditionally employed a... 详细信息
来源: 评论