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» Parallel matrix algorithms and applications
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106
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EUROPAR
2005
Springer
15 years 6 months ago
Automatic Tuning of PDGEMM Towards Optimal Performance
Sophisticated parallel matrix multiplication algorithms like PDGEMM exhibit a complex structure and can be controlled by a large set of parameters including blocking factors and bl...
Sascha Hunold, Thomas Rauber
SYNASC
2006
IEEE
129views Algorithms» more  SYNASC 2006»
15 years 6 months ago
Pivot-Free Block Matrix Inversion
We present a pivot-free deterministic algorithm for the inversion of block matrices. The method is based on the Moore-Penrose inverse and is applicable over certain general classe...
Stephen M. Watt
141
Voted
JPDC
2008
138views more  JPDC 2008»
15 years 12 days ago
Efficient parallel implementation of iterative reconstruction algorithms for electron tomography
Electron tomography (ET) combines electron microscopy and the principles of tomographic imaging in order to reconstruct the threedimensional structure of complex biological specim...
José-Jesús Fernández, Dan Gor...
112
Voted
NIPS
2003
15 years 1 months ago
Sparse Representation and Its Applications in Blind Source Separation
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Se...
84
Voted
NAACL
2007
15 years 1 months ago
Clustered Sub-Matrix Singular Value Decomposition
This paper presents an alternative algorithm based on the singular value decomposition (SVD) that creates vector representation for linguistic units with reduced dimensionality. T...
Fang Huang, Yorick Wilks