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Volume 15 (2020)

Latest addition : 29 January 2020.

  • Optimization of a discontinuous Galerkin solver with OpenCL and StarPU


    Since the recent advance in microprocessor design, the optimization of computing software becomes more and more technical. One of the difficulties is to transform sequential algorithms into parallel ones. A possible solution is the task-based design. In this approach, it is possible to describe the parallelization possibilities of the algorithm automatically. The task-based design is also a good strategy to optimize software in an incremental way. The objective of this paper is to describe a practical experience of a task-based parallelization of a Discontinuous Galerkin method in the context of electromagnetic simulations. The task-based description is managed by the StarPU runtime. Additional acceleration is obtained by OpenCL.

    Key words : Discontinuous Galerkin, StarPU, OpenCL, hybrid parallelism.

    logo_hal Voir sur HAL : https://hal.archives-ouvertes.fr/hal-01942863v3


Administrateur : Fayssal BENKHALDOUN
ISSN 1634-0655
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