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检索条件"主题词=Data Intensive Computing"
67 条 记 录,以下是41-50 订阅
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Pressure-Driven Hardware Managed Thread Concurrency for Irregular Applications  7
Pressure-Driven Hardware Managed Thread Concurrency for Irre...
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7th Workshop on Irregular Applications - Architectures and Algorithms (IA3)
作者: Leidel, John D. Wang, Xi Chen, Yong Texas Tech Univ Box 43104 Lubbock TX 79409 USA
Given the increasing importance of efficient data intensive computing, we find that modern processor designs are not well suited to the irregular memory access patterns found in these algorithms. This research focuses... 详细信息
来源: 评论
In-Map/In-Reduce: Concurrent Job Execution in MapReduce  13
In-Map/In-Reduce: Concurrent Job Execution in MapReduce
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13th IEEE International Conference on Trust Security and Privacy in computing and Communications (TrustCom)
作者: Idris, Muhammad Hussain, Shujaat Lee, Sungyoung Kyung Hee Univ Ubiquitous Comp Lab Coll Elect & Informat Seoul South Korea
Hadoop based MapReduce(MR) has emerged as big data processing mechanism in terms of its data intensive applications. In data intensive systems;analysis and visualizations as a result of various algorithms can lead to ... 详细信息
来源: 评论
Low Power computing and Simultaneous Electro-Optical/Radar data Processing using IBM's NS16e 16-chip Neuromorphic Hardware
Low Power Computing and Simultaneous Electro-Optical/Radar D...
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IEEE High Performance Extreme computing Conference (HPEC)
作者: Barnell, Mark Raymond, Courtney Brown, Daniel Wilson, Matthew Cote, Eric Air Force Res Lab Informat Directorate Rome NY 13441 USA SRC Inc Radars & Sensors Div N Syracuse NY USA
For the first time ever, advanced machine learning (ML) compute architectures, techniques, and methods were demonstrated on United States Geological Survey (USGS) optical imagery and Department of Defense (DoD) Synthe... 详细信息
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Implementing data cube construction using a cluster middleware: Algorithms, implementation experience, and performance evaluation
Implementing data cube construction using a cluster middlewa...
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2nd IEEE/ACM International Symposium on Cluster computing and the Grid
作者: Yang, G Jin, RM Agrawal, G Ohio State Univ Dept Comp & Informat Sci Columbus OH 43210 USA
With increases in the amount of data available for analysis in commercial settings, On Line Analytical Processing (OLAP) and decision support have become important applications for high performance computing. Implemen... 详细信息
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Applying Selectively Parallel I/O Compression to Parallel Storage Systems  1
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20th European Conference on Parallel computing (Euro-Par)
作者: Filgueira, Rosa Atkinson, Malcolm Tanimura, Yusuke Kojima, Isao Univ Edinburgh Sch Informat Edinburgh EH8 9AB Midlothian Scotland AIST Informat Technol Res Inst Tsukuba Ibaraki Japan
This paper presents a new I/O technique called Selectively Parallel I/O Compression (SPIOC) for providing high-speed storage and access to data in QoS enabled parallel storage systems. SPIOC reduces the time of I/O op... 详细信息
来源: 评论
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
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Improving data Analysis Performance for High-Performance computing with Integrating Statistical Metadata in Scientific datasets
Improving Data Analysis Performance for High-Performance Com...
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25th ACM/IEEE International Conference for High Performance computing, Networking, Storage and Analysis (SC)
作者: Liu, Jialin Chen, Yong Texas Tech Univ Dept Comp Sci Lubbock TX 79409 USA
Scientific datasets and libraries, such as HDF5, ADIOS, and NetCDF, have been used widely in many data intensive applications. These libraries have their special file formats and I/O functions to provide efficient acc... 详细信息
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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
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In-advance data Analytics for Reducing Time to Discovery  2
In-advance Data Analytics for Reducing Time to Discovery
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IEEE International Conference on Big data
作者: Liu, Jialin Lu, Yin Chen, Yong Texas Tech Univ Dept Comp Sci Lubbock TX 79409 USA
Scientific 2workflow involves data generation, data analysis, and knowledge discovery. As the data volume exceeds a few terabytes (TB) in a single simulation run, the data movement, which happens among data generation... 详细信息
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OpenFlow Enabled Hadoop Over Local and Wide Area Clusters
OpenFlow Enabled Hadoop Over Local and Wide Area Clusters
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25th ACM/IEEE International Conference for High Performance computing, Networking, Storage and Analysis (SC)
作者: Narayan, Sandhya Bailey, Stuart Greenway, Matthew Grossman, Robert Heath, Allison Powell, Ray Daga, Anand InfoBlox Inc Santa Clara CA USA Univ Chicago Inst Comp Chicago IL USA Univ Houston Dept Comp Sci Houston TX USA
Hadoop has emerged as an important platform for data intensive computing. The shuffle and sort phases of a MapReduce computation often saturate top of the rack switches, as well as switches that aggregate multiple rac... 详细信息
来源: 评论