32 search results - page 5 / 7 » Avoiding communication in sparse matrix computations |
ICDE
2009
IEEE
14 years 8 months ago
2009
IEEE
Discovering non-trivial matching subsequences from two time series is very useful in synthesizing novel time series. This can be applied to applications such as motion synthesis wh...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
PE
2011
Springer
13 years 2 months ago
2011
Springer
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
AMC
2010
13 years 7 months ago
2010
: Parallel iterative methods are powerful tool for solving large system of linear equations (LEs). The existing parallel computing research results are focussed mainly on sparse sy...
PPOPP
1997
ACM
13 years 11 months ago
1997
ACM
Parallel algorithm designers need computational models that take first order system costs into account, but are also simple enough to use in practice. This paper introduces the L...