Search for dissertations about: "Jarmo Rantakokko"

Showing result 1 - 5 of 9 swedish dissertations containing the words Jarmo Rantakokko.

  2. 1. Object-oriented software tools for composite-grid methods on parallel computers

    Author : Jarmo Rantakokko; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Numerical Analysis; Numerisk analys;

    Abstract : .... READ MORE

  4. 2. Data Partitioning Methods and Parallel Block-Oriented PDE Solvers

    Author : Jarmo Rantakokko; Michael Thuné; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; data assimilation; data partitioning; meteorology; multiblock; Navier-Stokes; object-oriented; oceanography; parallel computing; Numerical Analysis; Numerisk analys;

    Abstract : Data partitioning methods for block-structured problems within scientific computing have been studied. The applications are variational data assimilation in meteorology, ocean modeling, and airflow simulation with multiblock grids. READ MORE

  5. 3. Autonomic Management of Partitioners for SAMR Grid Hierarchies

    Author : Henrik Johansson; Jarmo Rantakokko; Michael Thuné; Johan Steensland; Manish Parashar; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Beräkningsvetenskap; Scientific Computing;

    Abstract : Parallel structured adaptive mesh refinement methods decrease the execution time and memory usage of partial differential equation solvers by adaptively assigning computational resources to regions with large solution errors. These methods result in a dynamic grid hierarchy. READ MORE

  6. 4. Performance characterization and evaluation of parallel PDE solvers

    Author : Henrik Johansson; Jarmo Rantakokko; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Beräkningsvetenskap; Scientific Computing;

    Abstract : Computer simulations that solve partial differential equations (PDEs) are common in many fields of science and engineering. To decrease the execution time of the simulations, the PDEs can be solved on parallel computers. For efficient parallel implementations, the characteristics of both the hardware and the PDE solver must be taken into account. READ MORE

  7. 5. Finite Element Computations on Multicore and Graphics Processors

    Author : Karl Ljungkvist; Jarmo Rantakokko; Xing Cai; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Finite Element Methods; GPU; Matrix-Free; Multigrid; Transactional Memory; Scientific Computing; Beräkningsvetenskap;

    Abstract : In this thesis, techniques for efficient utilization of modern computer hardwarefor numerical simulation are considered. In particular, we study techniques for improving the performance of computations using the finite element method. READ MORE