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IPPS
2008
IEEE
14 years 2 months ago
SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
David A. Bader, Kamesh Madduri
IPPS
2003
IEEE
14 years 1 months ago
A Message Passing Interface Library for Inhomogeneous Coupled Clusters
Clusters of PC containing mostly general purpose hardware have become more and more usable for high performance computing tasks in the past few years. Clustering existing systems ...
Martin Pöppe, Silke Schuch, Thomas Bemmerl
IPPS
2005
IEEE
14 years 1 months ago
MegaProto: A Low-Power and Compact Cluster for High-Performance Computing
“MegaProto” is a proof-of-concept prototype for our project “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, implementing our key idea that a mi...
Hiroshi Nakashima, Hiroshi Nakamura, Mitsuhisa Sat...
EUROPAR
1999
Springer
14 years 8 hour ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
CCGRID
2001
IEEE
13 years 11 months ago
Cluster Computing in the Classroom: Topics, Guidelines, and Experiences
- With the progress of research on cluster computing, more and more universities have begun to offer various courses covering cluster computing. A wide variety of content can be ta...
Amy W. Apon, Rajkumar Buyya, Hai Jin, Jens Mache