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Article Dans Une Revue International Journal on Finite Volumes Année : 2020

Optimization of a discontinuous Galerkin solver with OpenCL and StarPU

Laura Mendoza
Bruno Weber
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Résumé

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.
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Dates et versions

hal-01942863 , version 1 (03-12-2018)
hal-01942863 , version 2 (08-07-2019)
hal-01942863 , version 3 (23-01-2020)

Identifiants

  • HAL Id : hal-01942863 , version 3

Citer

Bérenger Bramas, Philippe Helluy, Laura Mendoza, Bruno Weber. Optimization of a discontinuous Galerkin solver with OpenCL and StarPU. International Journal on Finite Volumes, 2020, 15 (1), pp.1-19. ⟨hal-01942863v3⟩
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