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IPPS
1997
IEEE
15 years 10 months ago
A Parallel Priority Data Structure with Applications
We present a parallel priority data structure that improves the running time of certain algorithms for problems that lack a fast and work-efficient parallel solution. As a main a...
Gerth Stølting Brodal, Jesper Larsson Tr&au...
CLUSTER
2008
IEEE
16 years 16 days ago
In search of sweet-spots in parallel performance monitoring
—Parallel performance monitoring extends parallel measurement systems with infrastructure and interfaces for online performance data access, communication, and analysis. At the s...
Aroon Nataraj, Allen D. Malony, Allen Morris, Dori...
CCGRID
2006
IEEE
16 years 4 days ago
Statistical Data Reduction for Efficient Application Performance Monitoring
There is a growing need for systems that can monitor and analyze application performance data automatically in order to deliver reliable and sustained performance to applications....
Lingyun Yang, Jennifer M. Schopf, Catalin Dumitres...
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IPPS
2000
IEEE
15 years 10 months ago
PaDDMAS: Parallel and Distributed Data Mining Application Suite
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
CIKM
2009
Springer
15 years 10 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...