Generalized N-body problems: a framework for scalable computation

Generalized N-body problems: a framework for scalable computation

In the wake of the Big Data phenomenon, the computing world has seen a number of computational paradigms developed in response to the sudden need to process ever-increasing volumes of data. Most notably, MapReduce has proven quite successful in scaling out an extensible class of simple algorithms t...

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Bibliographic Details
Main Author: Riegel, Ryan Nelson
Other Authors: Gray, Alexander
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2014
Subjects:
Fast algorithms
Generalized algorithms
Tree codes
Complexity analysis
Database-resident computation
Machine learning
Nearest neighbors
Kernel sums
Affinity propagation
Kernel discriminant analysis
Quasar identification
Big data
Parallel processing (Electronic computers)
Many-body problem
Algorithms
Online Access:http://hdl.handle.net/1853/50269

Internet

http://hdl.handle.net/1853/50269

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