TY - JOUR
T1 - A New Decomposition Solver for Complex Electromagnetic Problems [EM Programmer's Notebook]
AU - Zhao, Xunwang
AU - Chen, Yan
AU - Zhang, Huanhuan
AU - Zhang, Yu
AU - Sarkar, Tapan K.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6
Y1 - 2017/6
N2 - A parallel higher-order method of moments (HOMoM) with a newly developed reduced-communication, lower-upper (RCLU) decomposition solver is proposed in this article. The method uses 201,600 central processing unit (CPU) cores on a supercomputer located in Guangzhou, China. Our code achieves an extremely high parallel efficiency when simulating a large aircraft that has been discretized in the method-of-moments (MoM) context, using a higher-order quadrilateral patch basis, into approximately 1.06 million unknowns for the surface-current distribution. Remarkably, its solution using the classical lower-upper (LU) solver only takes roughly half an hour. In addition, a review of the in-core and out-of-core algorithms of an HOMoM is presented, with a focus on their parallel implementation. The parallel performance of the methodology is also demonstrated on some challenging applications.
AB - A parallel higher-order method of moments (HOMoM) with a newly developed reduced-communication, lower-upper (RCLU) decomposition solver is proposed in this article. The method uses 201,600 central processing unit (CPU) cores on a supercomputer located in Guangzhou, China. Our code achieves an extremely high parallel efficiency when simulating a large aircraft that has been discretized in the method-of-moments (MoM) context, using a higher-order quadrilateral patch basis, into approximately 1.06 million unknowns for the surface-current distribution. Remarkably, its solution using the classical lower-upper (LU) solver only takes roughly half an hour. In addition, a review of the in-core and out-of-core algorithms of an HOMoM is presented, with a focus on their parallel implementation. The parallel performance of the methodology is also demonstrated on some challenging applications.
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U2 - 10.1109/MAP.2017.2687119
DO - 10.1109/MAP.2017.2687119
M3 - Article
AN - SCOPUS:85027369913
SN - 1045-9243
VL - 59
SP - 131
EP - 140
JO - IEEE Antennas and Propagation Magazine
JF - IEEE Antennas and Propagation Magazine
IS - 3
M1 - 7938824
ER -