File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/MAP.2003.1203119
- Scopus: eid_2-s2.0-0038383220
- WOS: WOS:000183055200008
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: 10 million unknowns: Is it that big?
Title | 10 million unknowns: Is it that big? |
---|---|
Authors | |
Keywords | Electromagnetic Scattering Fast Multiple Method Integral Equations Matrix Decomposition Matrix Inversion Message Passing Mlfma Parallel Algorithms Radar Cross Sections |
Issue Date | 2003 |
Citation | Ieee Antennas And Propagation Magazine, 2003, v. 45 n. 2, p. 43-58 How to Cite? |
Abstract | At the Center for Computational Electromagnetics at the University of Illinois, we recently solved a very-large-scale electromagnetic scattering problem. We computed the bistatic radar cross-section of a full-size aircraft at 8 GHz, involving the solution of a dense matrix equation with nearly 10.2 million unknowns. We regarded this as the "ultimate test" of a massively parallel implementation of the Multilevel Fast Multipole Algorithm (MLFMA), called ScaleME. In this paper, we narrate the technical difficulties faced and the experience gained from a very informal point of view. We shall describe the various methods developed for surmounting each of the obstacles. |
Persistent Identifier | http://hdl.handle.net/10722/182677 |
ISSN | 2023 Impact Factor: 4.2 2023 SCImago Journal Rankings: 0.883 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Velamparambil, S | en_US |
dc.contributor.author | Chew, WC | en_US |
dc.contributor.author | Song, J | en_US |
dc.date.accessioned | 2013-05-02T05:16:23Z | - |
dc.date.available | 2013-05-02T05:16:23Z | - |
dc.date.issued | 2003 | en_US |
dc.identifier.citation | Ieee Antennas And Propagation Magazine, 2003, v. 45 n. 2, p. 43-58 | en_US |
dc.identifier.issn | 1045-9243 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/182677 | - |
dc.description.abstract | At the Center for Computational Electromagnetics at the University of Illinois, we recently solved a very-large-scale electromagnetic scattering problem. We computed the bistatic radar cross-section of a full-size aircraft at 8 GHz, involving the solution of a dense matrix equation with nearly 10.2 million unknowns. We regarded this as the "ultimate test" of a massively parallel implementation of the Multilevel Fast Multipole Algorithm (MLFMA), called ScaleME. In this paper, we narrate the technical difficulties faced and the experience gained from a very informal point of view. We shall describe the various methods developed for surmounting each of the obstacles. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | IEEE Antennas and Propagation Magazine | en_US |
dc.subject | Electromagnetic Scattering | en_US |
dc.subject | Fast Multiple Method | en_US |
dc.subject | Integral Equations | en_US |
dc.subject | Matrix Decomposition | en_US |
dc.subject | Matrix Inversion | en_US |
dc.subject | Message Passing | en_US |
dc.subject | Mlfma | en_US |
dc.subject | Parallel Algorithms | en_US |
dc.subject | Radar Cross Sections | en_US |
dc.title | 10 million unknowns: Is it that big? | en_US |
dc.type | Article | en_US |
dc.identifier.email | Chew, WC: wcchew@hku.hk | en_US |
dc.identifier.authority | Chew, WC=rp00656 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1109/MAP.2003.1203119 | en_US |
dc.identifier.scopus | eid_2-s2.0-0038383220 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0038383220&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 45 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.spage | 43 | en_US |
dc.identifier.epage | 58 | en_US |
dc.identifier.isi | WOS:000183055200008 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Velamparambil, S=6602793534 | en_US |
dc.identifier.scopusauthorid | Chew, WC=36014436300 | en_US |
dc.identifier.scopusauthorid | Song, J=7404788341 | en_US |
dc.identifier.issnl | 1045-9243 | - |