19586

Optimization of a discontinuous Galerkin solver with OpenCL and StarPU

Bérenger Bramas, Philippe Helluy, Laura Mendoza, Bruno Weber
Université de Strasbourg, Icube, Inria Camus
hal-01942863, (30 January 2020)

@article{bramas2020optimization,

   title={Optimization of a discontinuous Galerkin solver with OpenCL and StarPU},

   author={Bramas, B{‘e}renger and Helluy, Philippe and Mendoza, Laura and Weber, Bruno},

   year={2020}

}

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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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