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IPPS
1998
IEEE
13 years 11 months ago
High Performance Data Mining Using Data Cubes on Parallel Computers
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
Sanjay Goil, Alok N. Choudhary
CODES
2010
IEEE
13 years 4 months ago
Automatic memory partitioning: increasing memory parallelism via data structure partitioning
In high-level synthesis, pipelined designs are often restricted by the number of memory banks available to the synthesis system. Using multiple memory banks can improve the perfor...
Yosi Ben-Asher, Nadav Rotem
WOMPAT
2001
Springer
13 years 12 months ago
SPEComp: A New Benchmark Suite for Measuring Parallel Computer Performance
Abstract. We present a new benchmark suite for parallel computers. SPEComp targets mid-size parallel servers. It includes a number of science/engineering and data processing applic...
Vishal Aslot, Max J. Domeika, Rudolf Eigenmann, Gr...
BILDMED
2011
264views Algorithms» more  BILDMED 2011»
12 years 11 months ago
High Performance GPU-Based Preprocessing for Time-of-Flight Imaging in Medical Applications
Time-of-Flight (ToF) imaging is a promising technology for real-time metric surface acquisition and has recently been proposed for a variety of medical applications. However, due t...
Jakob Wasza, Sebastian Bauer, Joachim Hornegger
VLDB
2009
ACM
182views Database» more  VLDB 2009»
14 years 7 months ago
Guessing the extreme values in a data set: a Bayesian method and its applications
For a largenumber of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smallest)...
Mingxi Wu, Chris Jermaine