@inproceedings{3859b47557f14ddb91d0a6f267a4696f,
title = "Scalable parallel DBIM solutions of inverse-scattering problems",
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.",
author = "Mert Hidayetogglu and Carl Pearson and Levent Gurel and Hwu, {Wen Mei} and Chew, {Weng Cho}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Computing and Electromagnetics International Workshop, CEM 2017 ; Conference date: 21-06-2017 Through 24-06-2017",
year = "2017",
month = jul,
day = "25",
doi = "10.1109/CEM.2017.7991889",
language = "English (US)",
series = "CEM 2017 - 2017 Computing and Electromagnetics International Workshop",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "65--66",
editor = "Levent Gurel",
booktitle = "CEM 2017 - 2017 Computing and Electromagnetics International Workshop",
address = "United States",
}