DOCKER-ENABLED SCALABLE PARALLEL MLFMA SYSTEM FOR RCS EVALUATION | Zendy

Jian Zhou | Zendy; Shaowei Bie | Zendy; Ling Miao | Zendy; Yuhao Zhang | Zendy; Jianjun Jiang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

DOCKER-ENABLED SCALABLE PARALLEL MLFMA SYSTEM FOR RCS EVALUATION

Author(s) -

Jian Zhou,

Shaowei Bie,

Ling Miao,

Yuhao Zhang,

Jianjun Jiang

Publication year - 2018

Publication title -

progress in electromagnetics research m

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 31

ISSN - 1937-8726

DOI - 10.2528/pierm18021907

Subject(s) - scalability , computer science , computational science , parallel computing , distributed computing , operating system

Research on RCS evaluation for electrically large objects has been a hot topic for decades. Although multilevel fast multipole algorithm (MLFMA) has been the most popular method in scattering computation, due to the limitation of both CPU speed and memory size in a single computer, realistic large targets require discretization with millions of unknowns still cannot be solved by sequential implementations of MLFMA. In this paper, we introduce a Docker-enabled parallel MLFMA computing system based on MPI, which is proved to be friendly for deployment and economical for scalability, to solve electrically large scattering problems. In addition, the capability of the proposed system has been demonstrated by several canonical examples.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research