Large inverse-scattering solutions with DBIM on GPU-enabled supercomputers

Mert Hidayetogglu, Carl Pearson, Weng Cho Chew, Levent Gurel, Wen-Mei W Hwu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We report inverse-scattering solutions on supercomputers involving large numbers of graphics processing units (GPUs). The distorted-Born iterative method (DBIM) is employed for the iterative inversions. In each iteration, the required forward problems are distributed among computing nodes equipped with GPUs, and solved with the multilevel fast multipole algorithm. A tomographic reconstruction of a synthetic object with a linear dimension of one hundred wavelengths is obtained on 256 GPUs. The results show that DBIM obtains images approximately four times faster on GPUs, compared to parallel executions on traditional CPU-only computing nodes.

Original languageEnglish (US)
Title of host publication2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996007832
DOIs
StatePublished - May 1 2017
Event2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017 - Firenze, Italy
Duration: Mar 26 2017Mar 30 2017

Publication series

Name2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017

Other

Other2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017
CountryItaly
CityFirenze
Period3/26/173/30/17

ASJC Scopus subject areas

  • Radiation
  • Signal Processing
  • Computational Mathematics
  • Instrumentation

Fingerprint Dive into the research topics of 'Large inverse-scattering solutions with DBIM on GPU-enabled supercomputers'. Together they form a unique fingerprint.

  • Cite this

    Hidayetogglu, M., Pearson, C., Chew, W. C., Gurel, L., & Hwu, W-M. W. (2017). Large inverse-scattering solutions with DBIM on GPU-enabled supercomputers. In 2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017 [7916310] (2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ROPACES.2017.7916310