230 search results - page 16 / 46 » Sparse matrix factorization on massively parallel computers |
AC
2008
Springer
14 years 9 months ago
2008
Springer
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientific computing. They are a basic building block for various numerical and combinat...
IPPS
2008
IEEE
15 years 4 months ago
2008
IEEE
Accurate, reproducible and comparable measurement of collective operations is a complicated task. Although Different measurement schemes are implemented in wellknown benchmarks, m...
60
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
75
Voted
ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
JPDC
2008
14 years 9 months ago
2008
Two parallel block tridiagonalization algorithms and implementations for dense real symmetric matrices are presented. Block tridiagonalization is a critical pre-processing step for...