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175
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ICDE
2012
IEEE
267views Database» more  ICDE 2012»
13 years 6 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
104
Voted
PDP
2005
IEEE
15 years 9 months ago
Distributed Data Collection through Remote Probing in Windows Environments
Distributed Data Collector (DDC) is a framework to ease and automate repetitive executions of console applications (probes) over a set of LAN networked Windows personal computers....
Patrício Domingues, Paulo Marques, Lu&iacut...
144
Voted
ICPPW
2006
IEEE
15 years 9 months ago
Dynamic Algorithm Selection in Parallel GAMESS Calculations
Applications augmented with adaptive capabilities are becoming common in parallel computing environments which share resources such as main memory, network, or disk I/O. For large...
Nurzhan Ustemirov, Masha Sosonkina, Mark S. Gordon...
137
Voted
PARA
2004
Springer
15 years 9 months ago
Performance Oriented Development and Tuning of GRID Applications
GRID Application development is a hard task. Good applications should correctly use large distributed systems, whose infrastructure heavily affects the application performance. In ...
Emilio Mancini, Massimiliano Rak, Roberto Torella,...
155
Voted
CGF
2004
194views more  CGF 2004»
15 years 3 months ago
Distributed and Collaborative Visualization
Visualization is a powerful tool for analysing data and presenting results in science, engineering and medicine. This paper reviews ways in which it can be used in distributed and...
Ken Brodlie, David A. Duce, Julian R. Gallop, J. P...