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» Competitive Analysis of Distributed Algorithms
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135
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EUROPAR
2004
Springer
15 years 4 months ago
Efficient Parallel Hierarchical Clustering
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...
112
Voted
IPPS
2010
IEEE
14 years 10 months ago
Highly scalable parallel sorting
Sorting is a commonly used process with a wide breadth of applications in the high performance computing field. Early research in parallel processing has provided us with comprehen...
Edgar Solomonik, Laxmikant V. Kalé
PASTE
2010
ACM
15 years 5 months ago
Expect the unexpected: error code mismatches between documentation and the real world
Inaccurate documentation can mislead programmers and cause software to fail in unexpected ways. We examine mismatches between documented and actual error codes returned by 42 Linu...
Cindy Rubio-González, Ben Liblit
IJHPCA
2007
88views more  IJHPCA 2007»
15 years 11 days ago
Scaling Properties of Common Statistical Operators for Gridded Datasets
An accurate cost-model that accounts for dataset size and structure can help optimize geoscience data analysis. We develop and apply a computational model to estimate data analysi...
Charles S. Zender, Harry Mangalam
PODC
2006
ACM
15 years 6 months ago
Computing separable functions via gossip
Motivated by applications to sensor, peer-to-peer, and adhoc networks, we study the problem of computing functions of values at the nodes in a network in a totally distributed man...
Damon Mosk-Aoyama, Devavrat Shah