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

The authors thank the members of the Supercomputer Laboratory at King Abdullah University for providing the necessary resources and guidance. This research was supported by the Extreme Computing Research Center (ECRC) at KAUST and by the Simulation and Modelling Laboratory at IIT Kanpur.