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PRL
2006
139views more  PRL 2006»
13 years 10 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
IPPS
2005
IEEE
14 years 3 months ago
Fault-Tolerant Parallel Applications with Dynamic Parallel Schedules
Commodity computer clusters are often composed of hundreds of computing nodes. These generally off-the-shelf systems are not designed for high reliability. Node failures therefore...
Sebastian Gerlach, Roger D. Hersch
SC
2005
ACM
14 years 3 months ago
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. H...
Rong Ge, Xizhou Feng, Kirk W. Cameron
IPPS
2002
IEEE
14 years 3 months ago
Communication Characteristics of Large-Scale Scientific Applications for Contemporary Cluster Architectures
This paper examines the explicit communication characteristics of several sophisticated scientific applications, which, by themselves, constitute a representative suite of publicl...
Jeffrey S. Vetter, Frank Mueller
WCRE
2005
IEEE
14 years 3 months ago
Multiple Layer Clustering of Large Software Systems
Software clustering algorithms presented in the literature rarely incorporate in the clustering process dynamic information, such as the number of function invocations during runt...
Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xi...