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Journal articles
Optimization of a discontinuous Galerkin solver with OpenCL and StarPU
Abstract : 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.
Cited literature [18 references]
https://hal.archives-ouvertes.fr/hal-01942863
Contributor : Philippe Helluy Connect in order to contact the contributor
Submitted on : Thursday, January 23, 2020 - 10:13:02 AM
Last modification on : Wednesday, December 1, 2021 - 3:32:13 PM
Long-term archiving on: : Friday, April 24, 2020 - 12:43:21 PM
Contributor : Philippe Helluy Connect in order to contact the contributor
Submitted on : Thursday, January 23, 2020 - 10:13:02 AM
Last modification on : Wednesday, December 1, 2021 - 3:32:13 PM
Long-term archiving on: : Friday, April 24, 2020 - 12:43:21 PM
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schnaps_opencl2020.pdf
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