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» Visualizing Program Executions on Large Data Sets
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EUROSYS
2007
ACM
14 years 4 months ago
Dryad: distributed data-parallel programs from sequential building blocks
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational “vertices” with communication ...
Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrel...
ACMSE
2010
ACM
13 years 5 months ago
Visualization of the CreSIS Greenland data sets
The Center for Remote Sensing of Ice Sheets (CReSIS) has been compiling Greenland ice sheet thickness data since 1993. The airborne program utilizes a 150 MHz radar echo sounder to...
Shaketia L. McCoy, Michael Austin, Frensha Slaught...
ICTAI
2002
IEEE
14 years 14 days ago
Data Mining for Selective Visualization of Large Spatial Datasets
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for patte...
Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Ruli...
VISUALIZATION
2003
IEEE
14 years 24 days ago
Accelerating Large Data Analysis by Exploiting Regularities
We present techniques for discovering and exploiting regularity in large curvilinear data sets. The data can be based on a single mesh or a mesh composed of multiple submeshes (al...
David Ellsworth, Patrick J. Moran
SCP
2008
150views more  SCP 2008»
13 years 7 months ago
Google's MapReduce programming model - Revisited
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...
Ralf Lämmel