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» Distributed sparse linear regression
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WSC
2007
14 years 6 days ago
Regression models and experimental designs: a tutorial for simulation analysts
This tutorial explains the basics of linear regression metamodels—especially low-order polynomials—and the corresponding statistical designs—namely, fractional factorial des...
Jack P. C. Kleijnen
BMCBI
2008
186views more  BMCBI 2008»
13 years 10 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
IPPS
2007
IEEE
14 years 4 months ago
CCA-LISI: On Designing A CCA Parallel Sparse Linear Solver Interface
Sparse linear solvers account for much of the execution time in many high-performance computing (HPC) applications, and not every solver works on all problems. Hence choosing a su...
Fang Liu, Randall Bramley
FCCM
2005
IEEE
142views VLSI» more  FCCM 2005»
14 years 3 months ago
FPGA-Based Vector Processing for Solving Sparse Sets of Equations
The solution to a set of sparse linear equations Ax = b, where A is an n×n sparse matrix and b is an n-element vector, can be obtained using the W-matrix method. An enhanced vect...
Muhammad Z. Hasan, Sotirios G. Ziavras
EUROPAR
2009
Springer
14 years 4 months ago
PSPIKE: A Parallel Hybrid Sparse Linear System Solver
The availability of large-scale computing platforms comprised of tens of thousands of multicore processors motivates the need for the next generation of highly scalable sparse line...
Murat Manguoglu, Ahmed H. Sameh, Olaf Schenk