Searching for authors named "Sverker Holmgren" – sorted by Relevance.
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Grid-enabling an efficient algorithm for demanding global optimization problems in genetic analysis
- Analysis Mahen Jayawardena 1,2 and Sverker Holmgren 1 1 Division of Scientific Computing, Department
- Cited by 1 (1 self) – Add To MetaCart
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Geographical Locality and Dynamic Data Migration forOpenMP Implementations of Adaptive PDE Solvers
- Solvers Markus Nord'en, Henrik L"of, Jarmo Rantakokko, and Sverker Holmgren Uppsala University
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FOR THE HELMHOLTZ EQUATION
- -3203APARALLEL DOMAIN DECOMPOSITION METHOD FOR THE HELMHOLTZ EQUATION ELISABETH LARSSON y AND SVERKER HOLMGREN y
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A domain decomposition method for the Helmholtz equation in a multilayer domain
- LARSSON AND SVERKER HOLMGREN material parameters at subdomain boundaries, a domain decomposition framework
- Cited by 9 (1 self) – Add To MetaCart
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Cache memory behavior of advanced PDE solvers
- Cache Memory Behavior of Advanced PDE Solvers Dan Wallin, Henrik Johansson and Sverker Holmgren
- Cited by 2 (1 self) – Add To MetaCart
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D.: Performance of PDE Solvers on a Self-Optimizing NUMA Architecture. Parallel Algorithms and Applications 17(4
- Performance of PDE Solvers on a Self-Optimizing NUMA Architecture Sverker Holmgren, Markus Nordén
- Cited by 1 (1 self) – Add To MetaCart
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Convergence Acceleration for the Navier-Stokes Equations Using Optimal Semicirculant Approximations
- Approximations Sverker Holmgren y , Henrik Brand'en y and Erik Sterner y Abstract. The iterative solution
- Cited by 1 (1 self) – Add To MetaCart
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Using parallel computing and grid systems for genetic mapping of quantitaive traits
- Jayawardena 1,2 , Kajsa Ljungberg 1 and Sverker Holmgren 1 1 Division of Scientific Computing, Department
- Cited by 1 (1 self) – Add To MetaCart
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Multigrid and Gauss-Seidel smoothers revisited: parallelization on chip multiprocessors
- Dan Wallin, Henrik Löf, Erik Hagersten and Sverker Holmgren Uppsala University, Department
- Cited by 1 (0 self) – Add To MetaCart
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Parallel and Scientific ComputingInstitute
- 'en, Sverker Holmgren, and Michael Thun'e Parallel and Scientific ComputingInstitute Royal Institute
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