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EUROPAR
2009
Springer
13 years 11 months ago
Adaptive Parallel Householder Bidiagonalization
With the increasing use of large image and video archives and high-resolution multimedia data streams in many of today’s research and application areas, there is a growing need f...
Fangbin Liu, Frank J. Seinstra
NA
2006
123views more  NA 2006»
13 years 4 months ago
Restarted block Lanczos bidiagonalization methods
Abstract. The problem of computing a few of the largest or smallest singular values and associated singular vectors of a large matrix arises in many applications. This paper descri...
James Baglama, Lothar Reichel
ICDE
2009
IEEE
168views Database» more  ICDE 2009»
14 years 6 months ago
Privacy-Preserving Singular Value Decomposition
Abstract-- In this paper, we propose secure protocols to perform Singular Value Decomposition (SVD) for two parties over horizontally and vertically partitioned data. We propose va...
Shuguo Han, Wee Keong Ng, Philip S. Yu
IPPS
2009
IEEE
13 years 11 months ago
Singular value decomposition on GPU using CUDA
Linear algebra algorithms are fundamental to many computing applications. Modern GPUs are suited for many general purpose processing tasks and have emerged as inexpensive high per...
Sheetal Lahabar, P. J. Narayanan