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» Application-Bypass Reduction for Large-Scale Clusters
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CLUSTER
2003
IEEE
13 years 10 months ago
Application-Bypass Reduction for Large-Scale Clusters
Process skew is an important factor in the performance of parallel applications, especially in large-scale clusters. Reduction is a common collective operation which, by its natur...
Adam Wagner, Darius Buntinas, Dhabaleswar K. Panda...
PAMI
1998
88views more  PAMI 1998»
13 years 4 months ago
Large-Scale Parallel Data Clustering
—Algorithmic enhancements are described that enable large computational reduction in mean square-error data clustering. These improvements are incorporated into a parallel data-c...
Dan Judd, Philip K. McKinley, Anil K. Jain
HPCA
2001
IEEE
14 years 5 months ago
A New Scalable Directory Architecture for Large-Scale Multiprocessors
The memory overhead introduced by directories constitutes a major hurdle in the scalability of cc-NUMA architectures, which makes the shared-memory paradigm unfeasible for very la...
Manuel E. Acacio, José González, Jos...
JCB
2007
198views more  JCB 2007»
13 years 4 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 5 months ago
Random Indexing K-tree
Random Indexing K-tree is the combination of two algorithms suited for large scale document clustering. Keywords Random Indexing, K-tree, Dimensionality Reduction, B-tree, Search T...
Christopher M. De Vries, Lance De Vine, Shlomo Gev...