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COMGEO
2004
ACM
13 years 7 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
IPPS
2010
IEEE
13 years 5 months ago
Servet: A benchmark suite for autotuning on multicore clusters
Abstract--The growing complexity in computer system hierarchies due to the increase in the number of cores per processor, levels of cache (some of them shared) and the number of pr...
Jorge González-Domínguez, Guillermo ...
NIPS
2008
13 years 9 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
CLUSTER
2008
IEEE
14 years 2 months ago
Impact of topology and link aggregation on a PC cluster with Ethernet
Abstract—In addition to its use in local area networks, Ethernet has been used for connecting hosts in the area of highperformance computing. Here, we investigated the impact of ...
Takafumi Watanabe, Masahiro Nakao, Tomoyuki Hiroya...
ICPADS
2007
IEEE
14 years 2 months ago
Federated clusters using the transparent remote Execution (TREx) environment
- Due to the increasing complexity of scientific models, large-scale simulation tools often require a critical amount of computational power to produce results in a reasonable amou...
Richert Wang, Enrique Cauich, Isaac D. Scherson