Supercomputing for Full-Wave Tomographic Image Reconstruction in Near-Real Time

Mert Hidayetoǧlu, Wen Mei Hwu, Weng Cho Chew

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

Abstract

This paper demonstrates large full-wave inverse-scattering solutions on the Blue Waters supercomputing facility. The high computational complexity of the distorted-Born iterative method (DBIM) is reduced with the multilevel fast multipole algorithm (MLFMA). A hierarchical parallelization of DBIM and MLFMA provides scaling to thousands of computing nodes of the supercomputer. Furthermore, we obtain considerable speedup with modern CPU+GPU architectures over conventional CPU+CPU ones. Results obtained on 4,096 GPU nodes demonstrate a near-real-time tomographic reconstruction, which is crucial for real-life imaging applications.

Original languageEnglish (US)
Title of host publication2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1841-1842
Number of pages2
ISBN (Electronic)9781538671023
DOIs
StatePublished - Jan 1 2018
Event2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Boston, United States
Duration: Jul 8 2018Jul 13 2018

Publication series

Name2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings

Conference

Conference2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018
CountryUnited States
CityBoston
Period7/8/187/13/18

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation
  • Radiation

Cite this

Hidayetoǧlu, M., Hwu, W. M., & Cho Chew, W. (2018). Supercomputing for Full-Wave Tomographic Image Reconstruction in Near-Real Time. In 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings (pp. 1841-1842). [8608869] (2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APUSNCURSINRSM.2018.8608869