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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 8 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 10 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 9 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