TY - GEN
T1 - Supercomputing for Full-Wave Tomographic Image Reconstruction in Near-Real Time
AU - Hidayetoǧlu, Mert
AU - Hwu, Wen Mei
AU - Cho Chew, Weng
N1 - Funding Information:
ACKNOWLEDGEMENT This work was supported by NSF grants OAC-0725070 and EECS-1609195.
Funding Information:
This work was supported by NSF grants OAC-0725070 and EECS-1609195.
Publisher Copyright:
© 2018 IEEE.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
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U2 - 10.1109/APUSNCURSINRSM.2018.8608869
DO - 10.1109/APUSNCURSINRSM.2018.8608869
M3 - Conference contribution
AN - SCOPUS:85061895210
T3 - 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
SP - 1841
EP - 1842
BT - 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018
Y2 - 8 July 2018 through 13 July 2018
ER -