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» Parallel Computation of the SVD of a Matrix Product
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EUROPAR
2009
Springer
14 years 2 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
ICS
1999
Tsinghua U.
13 years 11 months ago
High-level semantic optimization of numerical codes
This paper presents a mathematical framework to exploit the semantic properties of matrix operations in loop-based numerical codes. The heart of this framework is an algebraic lan...
Vijay Menon, Keshav Pingali
HPCC
2007
Springer
14 years 1 months ago
A Block JRS Algorithm for Highly Parallel Computation of SVDs
This paper presents a new algorithm for computing the singular value decomposition (SVD) on multilevel memory hierarchy architectures. This algorithm is based on one-sided JRS iter...
Mostafa I. Soliman, Sanguthevar Rajasekaran, Reda ...
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 1 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
IMC
2004
ACM
14 years 27 days ago
Modeling distances in large-scale networks by matrix factorization
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Yun Mao, Lawrence K. Saul