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A scheduling policy to save 10% of communication time in parallel fast Fourier transform

  • Published:2021-07-18 Issue: Volume: Page:
  • ISSN:1532-0626
  • Container-title:Concurrency and Computation: Practice and Experience
  • language:en
  • Short-container-title:Concurrency Computat Pract Exper

Author:

Aseeri Samar A.1ORCID,Gopal Chatterjee Anando2,Verma Mahendra K.3,Keyes David E.1

Affiliation:

1. Extreme Computing Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia

2. Computer Center Indian Institute of Technology Kanpur Kanpur India

3. Department of Physics Indian Institute of Technology Kanpur Kanpur India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference30 articles.

1. heFFTe: Highly Efficient FFT for Exascale

2. Scaling of a fast Fourier transform and a pseudo‐spectral fluid solver up to 196608 cores;Chatterjee A;J Parallel Distrib Comput,2018

3. Fast parallel multidimensional FFT using advanced MPI;Dalcin L;J Parallel Distrib Comput,2019

4. http://www.fft.report.

5. https://hipc.org/pfft/.

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