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» Sparse matrix factorization on massively parallel computers
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ECOOPW
1998
Springer
15 years 1 months ago
The Matrix Template Library: A Unifying Framework for Numerical Linear Algebra
Abstract. We present a uni ed approach for expressing high performance numerical linear algebra routines for a class of dense and sparse matrix formats and shapes. As with the Stan...
Jeremy G. Siek, Andrew Lumsdaine
IPPS
2008
IEEE
15 years 4 months ago
Design of scalable dense linear algebra libraries for multithreaded architectures: the LU factorization
The scalable parallel implementation, targeting SMP and/or multicore architectures, of dense linear algebra libraries is analyzed. Using the LU factorization as a case study, it is...
Gregorio Quintana-Ortí, Enrique S. Quintana...
PC
2007
133views Management» more  PC 2007»
14 years 9 months ago
Data distribution for dense factorization on computers with memory heterogeneity
In this paper, we study the problem of optimal matrix partitioning for parallel dense factorization on heterogeneous processors. First, we outline existing algorithms solving the ...
Alexey L. Lastovetsky, Ravi Reddy
94
Voted
ECCV
2008
Springer
14 years 10 months ago
Discriminative Locality Alignment
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
Tianhao Zhang, Dacheng Tao, Jie Yang
HPCC
2007
Springer
15 years 1 months ago
Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU
A wide class of geometry processing and PDE resolution methods needs to solve a linear system, where the non-zero pattern of the matrix is dictated by the connectivity matrix of th...
Luc Buatois, Guillaume Caumon, Bruno Lévy