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» Rescheduling for Locality in Sparse Matrix Computations
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ACPC
1999
Springer
13 years 9 months ago
Non-standard Parallel Solution Strategies for Distributed Sparse Linear Systems
Abstract. A number of techniques are described for solving sparse linear systems on parallel platforms. The general approach used is a domaindecomposition type method in which a pr...
Yousef Saad, Masha Sosonkina
ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
13 years 11 months ago
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
Matthew Walter, Ryan Eustice, John J. Leonard
CORR
2007
Springer
144views Education» more  CORR 2007»
13 years 5 months ago
Distributing the Kalman Filter for Large-Scale Systems
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...
Usman A. Khan, José M. F. Moura
COMSIS
2010
13 years 2 months ago
3D point pattern matching based on spatial geometric flexibility
We propose a new method for matching two 3D point sets of identical cardinality with global similarity but local non-rigid deformations and distribution errors. This problem arises...
Xiaopeng Wei, Xiaoyong Fang, Qiang Zhang, Dongshen...
IJHPCA
2010
84views more  IJHPCA 2010»
13 years 3 months ago
Operation Stacking for Ensemble Computations With Variable Convergence
Sparse matrix operations achieve only small fractions of peak CPU speeds because of the use of specialized, indexbased matrix representations, which degrade cache utilization by i...
Mehmet Belgin, Godmar Back, Calvin J. Ribbens