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» Mapping functions and data redistribution for parallel files
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CCGRID
2010
IEEE
13 years 8 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
CLUSTER
2002
IEEE
14 years 17 days ago
User-Level Remote Data Access in Overlay Metacomputers
A practical problem faced by users of metacomputers and computational grids is: If my computation can move from one system to another, how can I ensure that my data will still be ...
Jeff Siegel, Paul Lu
ICS
1997
Tsinghua U.
13 years 11 months ago
Eliminating Cache Conflict Misses through XOR-Based Placement Functions
This paper makes the case for the use of XOR-based placement functions for cache memories. It shows that these XOR-mapping schemes can eliminate many conflict misses for direct-ma...
Antonio González, Mateo Valero, Nigel P. To...
CRV
2006
IEEE
223views Robotics» more  CRV 2006»
14 years 1 months ago
Disparity Map Estimation Using A Total Variation Bound
This paper describes a new variational method for estimating disparity from stereo images. The stereo matching problem is formulated as a convex programming problem in which an ob...
Wided Miled, Jean-Christophe Pesquet
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