| 1. |
- Fritzson, Dag, et al.
(author)
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Adaptive scheduling strategy optimizer for parallel rolling bearing simulation
- 1999
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In: High-Performance Computing and Networking. - : Springer Berlin/Heidelberg. - 3540658211 - 9783540658214 - 9783540489337 ; , s. 99-108
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Book chapter (peer-reviewed)abstract
- Rolling bearing simulations are very computationally intensive and need to utilize the potential of parallel computing. The load distribution over the processors in a rolling bearing simulation is very dynamic. In this paper we present the Adaptive Scheduling Strategy Optimizer (ASSO) for scheduling parallel simulations. The result of this is that the application can automatically select a near optimal scheduling strategy (with respect to the available scheduling strategies). The ASSO is used daily in real bearing simulations.
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| 2. |
- Fritzson, Dag, et al.
(author)
-
Rolling Bearing Simulation on MIMD Computers
- 1997
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In: The international journal of high performance computing applications. - : Sage Publications. - 1094-3420 .- 1741-2846. ; 11:4, s. 299-313
-
Journal article (peer-reviewed)abstract
- Rolling bearing simulations are very computationally in tensive. Serial simulations may take weeks to execute, and there is a need to use the potential of parallel comput ing. The specific structure of the rolling bearing problem is used to develop suitable scheduling strategies. The authors discuss the system of stiff ordinary differential equations arising from a bearing model and show how to numerically solve these ordinary differential equations on parallel computers. Benchmarking results are presented for two test cases on three platforms.
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| 3. |
- Nordling, Patrik, et al.
(author)
-
Parallelization of the CVODE ordinary differential equation solver with applications to rolling bearing simulation
- 1995
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In: High-Performance Computing and Networking. - : Springer.
-
Conference paper (peer-reviewed)abstract
- We discuss how to solve ordinary differential equations on parallel computers, with application to dynamic rolling bearing simulation. We show how to parallelize both the solver and the model, in order to get a scalable application. The obtained results show that, within the original CVODE solver, LU factorization and the forward/backward elimination of the Newton matrix, for the rolling bearing application can be done in almost constant time, independent of the problem size.
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| 4. |
- Nordling, Patrik, et al.
(author)
-
Rolling Bearing Simulation On Mimd Computers
- 1996
-
Conference paper (peer-reviewed)abstract
- Rolling bearing simulations are very computationally in tensive. Serial simulations may take weeks to execute, and there is a need to use the potential of parallel comput ing. The specific structure of the rolling bearing problem is used to develop suitable scheduling strategies. The authors discuss the system of stiff ordinary differential equations arising from a bearing model and show how to numerically solve these ordinary differential equations on parallel computers. Benchmarking results are presented for two test cases on three platforms.
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