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» SMP PCs: A Case Study on Cluster Computing
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DKE
2008
79views more  DKE 2008»
13 years 7 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
VISSYM
2003
13 years 8 months ago
Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
Jing Yang, Matthew O. Ward, Elke A. Rundensteiner,...
RECOMB
2008
Springer
14 years 7 months ago
Constructing Treatment Portfolios Using Affinity Propagation
A key problem of interest to biologists and medical researchers is the selection of a subset of queries or treatments that provide maximum utility for a population of targets. For ...
Delbert Dueck, Brendan J. Frey, Nebojsa Jojic, Vla...
ESA
2005
Springer
123views Algorithms» more  ESA 2005»
14 years 1 months ago
Oblivious vs. Distribution-Based Sorting: An Experimental Evaluation
We compare two algorithms for sorting out-of-core data on a distributed-memory cluster. One algorithm, Csort, is a 3-pass oblivious algorithm. The other, Dsort, makes three passes...
Geeta Chaudhry, Thomas H. Cormen
IPPS
2007
IEEE
14 years 1 months ago
Formal Analysis for Debugging and Performance Optimization of MPI
High-end computing is universally recognized to be a strategic tool for leadership in science and technology. A significant portion of high-end computing is conducted on clusters...
Ganesh Gopalakrishnan, Robert M. Kirby