Computational Techniques Using Fast Fourier Transformation (FFT) for Partial Differential Equations
This session explores the application of Fast Fourier Transforms (FFTs) in solving Partial Differential Equations (PDEs). We will examine recent advancements in FFTs, share research findings, and foster collaboration. Topics include theoretical underpinnings, practical applications, efficient parallel computations, and computational approaches. Participants will gain valuable insights into the practical use of FFTs in solving PDEs and their broader implications for understanding mathematical models.
We aim to explore how FFT could be implemented efficiently on large number of accelerators.
Organizer | Affiliation |
---|---|
Daisuke Takahashi | University of Tsukuba |
Benson K. Muite | Kichakato Kizito |
Samar Aseeri | King Abdullah University of Science and Technology |
Speakers | Talk Type | Affiliation | Presentation |
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Christian Klein | Keynote | University of Burgundy | Slides |
Daisuke Takahashi | Invited | University of Tsukuba | Slides |
Anando AGC Chatterjee | Invited | Indian Institute of Technology Kanpur | Slides |
Samar Ali Aseeri | Invited | King Abdullah University of Science and Technology | Slides |