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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.

Session page.

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
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