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» Clustering performance data efficiently at massive scales
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PVLDB
2010
167views more  PVLDB 2010»
14 years 11 months ago
Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance
One of the main reasons why cloud computing has gained so much popularity is due to its ease of use and its ability to scale computing resources on demand. As a result, users can ...
Jörg Schad, Jens Dittrich, Jorge-Arnulfo Quia...
89
Voted
DAC
2003
ACM
16 years 1 months ago
Multilevel floorplanning/placement for large-scale modules using B*-trees
We present in this paper a multilevel floorplanning/placement framework based on the B*-tree representation, called MB*-tree, to handle the floorplanning and packing for large-sca...
Hsun-Cheng Lee, Yao-Wen Chang, Jer-Ming Hsu, Hanna...
111
Voted
VIS
2009
IEEE
154views Visualization» more  VIS 2009»
16 years 1 months ago
A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets
Many techniques have been proposed to show uncertainty in data visualizations. However, very little is known about their effectiveness in conveying meaningful information. In this ...
Jibonananda Sanyal, Song Zhang, Gargi Bhattachar...
182
Voted
ICDE
2008
IEEE
103views Database» more  ICDE 2008»
16 years 1 months ago
Processing Diagnosis Queries: A Principled and Scalable Approach
Abstract-- Many popular Web sites suffer occasional uservisible problems such as slow responses, blank pages or error messages being displayed, items not being added to shopping ca...
Shivnath Babu, Songyun Duan, Kamesh Munagala
ISBI
2007
IEEE
15 years 6 months ago
Postprocessing of Brain White Matter Fiber Orientation Distribution Functions
By acquiring high angular resolution diffusion weighted magnetic resonance images (HARDI), Q-Ball analysis can disclose the 3D organization of fibrous tissue such as the brain whi...
Steven Delputte, Hans Dierckx, Els Fieremans, Yves...