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PARLE
1994
14 years 21 days ago
Run-Time Optimization of Sparse Matrix-Vector Multiplication on SIMD Machines
Sparse matrix-vector multiplication forms the heart of iterative linear solvers used widely in scientific computations (e.g., finite element methods). In such solvers, the matrix-v...
Louis H. Ziantz, Can C. Özturan, Boleslaw K. ...
CORR
2008
Springer
124views Education» more  CORR 2008»
13 years 9 months ago
Scheduling Kalman Filters in Continuous Time
A set of N independent Gaussian linear time invariant systems is observed by M sensors whose task is to provide the best possible steady-state causal minimum mean square estimate o...
Jerome Le Ny, Eric Feron, Munther A. Dahleh
ATMOS
2011
261views Optimization» more  ATMOS 2011»
12 years 9 months ago
On the Utilisation of Fuzzy Rule-Based Systems for Taxi Time Estimations at Airports
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively new technology into airport transportation research, with a special emphasis o...
Jun Chen, Stefan Ravizza, Jason A. D. Atkin, Paul ...
SC
2009
ACM
14 years 4 months ago
Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems
This paper presents a dynamic task scheduling approach to executing dense linear algebra algorithms on multicore systems (either shared-memory or distributed-memory). We use a tas...
Fengguang Song, Asim YarKhan, Jack Dongarra
ICCSA
2003
Springer
14 years 2 months ago
The Role of Multi-method Linear Solvers in PDE-based Simulations
The solution of large-scale, nonlinear PDE-based simulations typically depends on the performance of sparse linear solvers, which may be invoked at each nonlinear iteration. We pre...
Sanjukta Bhowmick, Lois C. McInnes, Boyana Norris,...