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EUROPAR
2001
Springer
15 years 11 months ago
Self-Organizing Hierarchical Cluster Timestamps
Distributed-system observation tools require an efficient data structure to store and query the partial-order of execution. Such data structures typically use vector timestamps to...
Paul A. S. Ward, David J. Taylor
VISUALIZATION
2000
IEEE
15 years 11 months ago
A continuous clustering method for vector fields
A new method for the simplification of flow fields is presented. It is based on continuous clustering. A well-known physical clustering model, the Cahn Hillard model which desc...
Harald Garcke, Tobias Preußer, Martin Rumpf,...
IPPS
1999
IEEE
15 years 11 months ago
A Flexible Clustering and Scheduling Scheme for Efficient Parallel Computation
Clustering and scheduling of tasks for parallel implementation is a well researched problem. Several techniques have been presented in the literature to improve performance and re...
S. Chingchit, Mohan Kumar, Laxmi N. Bhuyan
APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
15 years 9 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
CF
2005
ACM
15 years 9 months ago
Balancing clustering-induced stalls to improve performance in clustered processors
Clustered processors lose performance as a result of clusteringinduced stalls. Such stalls are the result of distributed resources and cluster communication delays. Our performanc...
Amirali Baniasadi