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CLUSTER
2009
IEEE
13 years 10 months ago
Numerically stable, single-pass, parallel statistics algorithms
—Statistical analysis is widely used for countless scientific applications in order to analyze and infer meaning from data. A key challenge of any statistical analysis package a...
Janine Bennett, R. Grout, Philippe P. Pébay...
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
11 years 7 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
ARITH
1993
IEEE
13 years 9 months ago
Faster numerical algorithms via exception handling
An attractive paradigm for building fast numerical algorithms is the following: 1 try a fast but occasionally unstable algorithm, 2 test the accuracy of the computed answer, a...
James Demmel, Xiaoye S. Li
SC
1995
ACM
13 years 8 months ago
A Parallel Incompressible Flow Solver Package with a Parallel Multigrid Elliptic Kernel
A parallel time-dependent incompressible flow solver and a parallel multigrid elliptic kernel are described. The flow solver is based on a second-order projection method applied...
John Z. Lou, Robert D. Ferraro
ALMOB
2006
80views more  ALMOB 2006»
13 years 5 months ago
Effective p-value computations using Finite Markov Chain Imbedding (FMCI): application to local score and to pattern statistics
The technique of Finite Markov Chain Imbedding (FMCI) is a classical approach to complex combinatorial problems related to sequences. In order to get efficient algorithms, it is k...
Grégory Nuel