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Parallel Fast Fourier Transforms (PFFT18)

In supercomputing, FFT is an important and fundamental library for scientific and technical computing. Current hardware trends may make some Fourier transform algorithms somewhat inefficient. For papers, besides FFT applications we consider works on present status of the FFT libraries, alternative approximate Fourier transforms, alternate hardware designs and methods to compare performance of FFT, and alternative algorithms that will be useful in advancing the field

We aim to explore how FFT could be implemented efficiently on large number of accelerators.

Conference page.

Organizer Affiliation
Samar Aseeri King Abdullah University of Science and Technology
Hari Sundar University of Utah
Daisuke Takahashi University of Tsukuba
Mahendra K. Verma Indian Institute of Technology Kanpur

TPC Affiliation
Samar Aseeri King Abdullah University of Science and Technology
Jens Henrik Göbbert Jülich Supercomputing Center
Ning Li NAG
Benson Muite University of Tartu
Dmitry Pekurovsky San Diego Supercomputing Center
Hari Subramoni Ohio State University
Hari Sundar University of Utah
Daisuke Takahashi University of Tsukuba
Ekaterina Tyutlyaeva RSC Technologies
Mahendra K. Verma Indian Institute of Technology Kanpur
Yu Feng Berkeley Center for Cosmological Physics