Scalable parallel DBIM solutions of inverse-scattering problems

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

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

Abstract

We report scalable solutions of inverse-scattering problems with the distorted Born iterative method (DBIM) on large number of computing nodes. Distributing forward solutions does not scale well when the number of illuminations is not greater than the number of computing nodes. As a remedy, we distribute both forward solutions and the corresponding forward solvers to improve granularity of DBIM solutions. This paper provides a set of solutions demonstrating good scaling of the proposed parallelization strategy up to 1,024 computing nodes, employing 16,394 processing cores in total.

Original languageEnglish (US)
Title of host publicationCEM 2017 - 2017 Computing and Electromagnetics International Workshop
EditorsLevent Gurel
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-66
Number of pages2
ISBN (Electronic)9781538617328
DOIs
StatePublished - Jul 25 2017
Event2017 Computing and Electromagnetics International Workshop, CEM 2017 - Barcelona, Spain
Duration: Jun 21 2017Jun 24 2017

Publication series

NameCEM 2017 - 2017 Computing and Electromagnetics International Workshop

Other

Other2017 Computing and Electromagnetics International Workshop, CEM 2017
CountrySpain
CityBarcelona
Period6/21/176/24/17

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ASJC Scopus subject areas

  • Instrumentation
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Hidayetogglu, M., Pearson, C., Gurel, L., Hwu, W. M., & Chew, W. C. (2017). Scalable parallel DBIM solutions of inverse-scattering problems. In L. Gurel (Ed.), CEM 2017 - 2017 Computing and Electromagnetics International Workshop (pp. 65-66). [7991889] (CEM 2017 - 2017 Computing and Electromagnetics International Workshop). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEM.2017.7991889