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132
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CCGRID
2001
IEEE
15 years 7 months ago
An Adaptive, Reconfigurable Interconnect for Computational Clusters
This paper describes the principles of an original adaptive interconnect for a computational cluster. Torus topology (2d or 3d) is used as a basis but nodes are allowed to effecti...
Alexander V. Shafarenko, Vladimir Vasekin
138
Voted
BMCBI
2007
152views more  BMCBI 2007»
15 years 3 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
122
Voted
HPDC
2002
IEEE
15 years 8 months ago
Multigrain Parallelism for Eigenvalue Computations on Networks of Clusters
Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in ...
James R. McCombs, Andreas Stathopoulos
140
Voted
SOSP
2005
ACM
16 years 20 days ago
Capturing, indexing, clustering, and retrieving system history
We present a method for automatically extracting from a running system an indexable signature that distills the essential characteristic from a system state and that can be subjec...
Ira Cohen, Steve Zhang, Moisés Goldszmidt, ...
155
Voted
JMLR
2002
111views more  JMLR 2002»
15 years 3 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman