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DTSTART;TZID=America/Denver:20191117T110000
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UID:submissions.supercomputing.org_SC19_sess109_ws_exampi107@linklings.com
SUMMARY:Impacts of Multi-GPU MPI Collective Communications on Large FFT Co
 mputation
DESCRIPTION:Workshop\n\nImpacts of Multi-GPU MPI Collective Communications
  on Large FFT Computation\n\nAyala, Tomov, Luo, Shaeik, Haidar...\n\nMost 
 applications targeting exascale, such as those part of the Exascale Comput
 ing Project (ECP), are designed for heterogeneous architectures and rely o
 n the Message Passing Interface (MPI) as their underlying parallel program
 ming model. In this paper we analyze the limitations of collective MPI com
 munication for the computation of fast Fourier transforms (FFTs), which ar
 e relied on heavily for large-scale particle simulations. We present exper
 iments made at one of the largest heterogeneous platforms, the Summit supe
 rcomputer at ORNL. We discuss communication models from state-of-the-art F
 FT libraries, and propose a new FFT library, named HEFFTE (Highly Efficien
 t FFTs for Exascale), which supports heterogeneous architectures and yield
 s considerable speedups compared with CPU libraries, while maintaining goo
 d weak as well as strong scalability.\n\nTag: Workshop Reg Pass, Exascale,
  MPI, Networks, Parallel Programming Languages, Libraries, and Models\n\nR
 egistration Category: Workshop Reg Pass, Exascale, MPI, Networks, Parallel
  Programming Languages, Libraries, and Models
URL:https://sc19.supercomputing.org/presentation/?id=ws_exampi107&sess=ses
 s109
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