@inproceedings{9d8f8c5c9e0d47ff9e7a365f7eb15c39,
title = "Supercomputing for Full-Wave Tomographic Image Reconstruction in Near-Real Time",
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.",
author = "Mert Hidayetoǧlu and Hwu, {Wen Mei} and {Cho Chew}, Weng",
year = "2018",
month = jan,
day = "1",
doi = "10.1109/APUSNCURSINRSM.2018.8608869",
language = "English (US)",
series = "2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1841--1842",
booktitle = "2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings",
address = "United States",
note = "2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 ; Conference date: 08-07-2018 Through 13-07-2018",
}