Fast and Efficient Algorithms for Computational Electromagnetics on GPU Architecture
Magnetic diagnostics are essential for the operation and understanding of a magnetic confinement fusion (MCF) device, for example, by providing in real-time, the axisymmetric measurements needed for plasma equilibrium reconstructions or magnetohydrodynamic instabilities control. In this paper, we pr...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on nuclear science 2017-07, Vol.64 (7), p.1983-1987 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1987 |
|---|---|
| container_issue | 7 |
| container_start_page | 1983 |
| container_title | IEEE transactions on nuclear science |
| container_volume | 64 |
| creator | Maceina, Tautvydas Bettini, Paolo Manduchi, Gabriele Passarotto, Mauro |
| description | Magnetic diagnostics are essential for the operation and understanding of a magnetic confinement fusion (MCF) device, for example, by providing in real-time, the axisymmetric measurements needed for plasma equilibrium reconstructions or magnetohydrodynamic instabilities control. In this paper, we present a fast and robust implementation on GPU architecture of an accurate algorithm suitable for the computation of synthetic magnetic measurements used both in real time applications and off-line reconstruction procedures. The proposed procedure is first applied to benchmark problems, to validate the compute unified device architecture implementation, and then to cases of practical interests in MCF. |
| doi_str_mv | 10.1109/TNS.2017.2713888 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_7944666</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7944666</ieee_id><sourcerecordid>1919641220</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-dd44cdc161df7a2f95245a1a043e86d0109d50c71b5448dc3e6783cf327fa113</originalsourceid><addsrcrecordid>eNo9kM1LAzEQxRdRsFbvgpeA562ZbLKbHEupVSgqWM8h5qNN2d3UJHvwv3dLi6dhmPdm3vyK4h7wDACLp83b54xgaGakgYpzflFMgDFeAmv4ZTHBGHgpqBDXxU1K-7GlDLNJsXlWKSPVG7R0zmtv-4zm7TZEn3ddQi5EtAjdYcgq-9CrFi1bq3MMndr2NnudUOjR6uMLzaPe-TzOhmhviyun2mTvznU6nlluFi_l-n31upivS00E5NIYSrXRUINxjSJOMEKZAoVpZXlt8PiWYVg38M0o5UZXtm54pV1FGqcAqmnxeFp7iOFnsCnLfRjiGDJJECBqCoTgUYVPKh1DStE6eYi-U_FXApZHdHJEJ4_o5BndaHk4Wby19l_eCErruq7-AAAIaig</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1919641220</pqid></control><display><type>article</type><title>Fast and Efficient Algorithms for Computational Electromagnetics on GPU Architecture</title><source>IEEE Electronic Library (IEL)</source><creator>Maceina, Tautvydas ; Bettini, Paolo ; Manduchi, Gabriele ; Passarotto, Mauro</creator><creatorcontrib>Maceina, Tautvydas ; Bettini, Paolo ; Manduchi, Gabriele ; Passarotto, Mauro</creatorcontrib><description>Magnetic diagnostics are essential for the operation and understanding of a magnetic confinement fusion (MCF) device, for example, by providing in real-time, the axisymmetric measurements needed for plasma equilibrium reconstructions or magnetohydrodynamic instabilities control. In this paper, we present a fast and robust implementation on GPU architecture of an accurate algorithm suitable for the computation of synthetic magnetic measurements used both in real time applications and off-line reconstruction procedures. The proposed procedure is first applied to benchmark problems, to validate the compute unified device architecture implementation, and then to cases of practical interests in MCF.</description><identifier>ISSN: 0018-9499</identifier><identifier>EISSN: 1558-1578</identifier><identifier>DOI: 10.1109/TNS.2017.2713888</identifier><identifier>CODEN: IETNAE</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Computational electromagnetics ; Computational fluid dynamics ; Computer applications ; Computer architecture ; Current density ; Fluid flow ; GPU ; Graphics processing units ; magnetic confinement fusion (MCF) ; Magnetic domains ; Magnetic measurement ; Magnetism ; Magnetohydrodynamics ; Plasma equilibrium ; Random access memory ; Real time ; Sensors ; synthetic magnetic measurements ; Toroidal magnetic fields</subject><ispartof>IEEE transactions on nuclear science, 2017-07, Vol.64 (7), p.1983-1987</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-dd44cdc161df7a2f95245a1a043e86d0109d50c71b5448dc3e6783cf327fa113</citedby><cites>FETCH-LOGICAL-c291t-dd44cdc161df7a2f95245a1a043e86d0109d50c71b5448dc3e6783cf327fa113</cites><orcidid>0000-0002-4418-5655 ; 0000-0003-2731-685X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7944666$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,778,782,794,27907,27908,54741</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7944666$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Maceina, Tautvydas</creatorcontrib><creatorcontrib>Bettini, Paolo</creatorcontrib><creatorcontrib>Manduchi, Gabriele</creatorcontrib><creatorcontrib>Passarotto, Mauro</creatorcontrib><title>Fast and Efficient Algorithms for Computational Electromagnetics on GPU Architecture</title><title>IEEE transactions on nuclear science</title><addtitle>TNS</addtitle><description>Magnetic diagnostics are essential for the operation and understanding of a magnetic confinement fusion (MCF) device, for example, by providing in real-time, the axisymmetric measurements needed for plasma equilibrium reconstructions or magnetohydrodynamic instabilities control. In this paper, we present a fast and robust implementation on GPU architecture of an accurate algorithm suitable for the computation of synthetic magnetic measurements used both in real time applications and off-line reconstruction procedures. The proposed procedure is first applied to benchmark problems, to validate the compute unified device architecture implementation, and then to cases of practical interests in MCF.</description><subject>Algorithms</subject><subject>Computational electromagnetics</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Computer architecture</subject><subject>Current density</subject><subject>Fluid flow</subject><subject>GPU</subject><subject>Graphics processing units</subject><subject>magnetic confinement fusion (MCF)</subject><subject>Magnetic domains</subject><subject>Magnetic measurement</subject><subject>Magnetism</subject><subject>Magnetohydrodynamics</subject><subject>Plasma equilibrium</subject><subject>Random access memory</subject><subject>Real time</subject><subject>Sensors</subject><subject>synthetic magnetic measurements</subject><subject>Toroidal magnetic fields</subject><issn>0018-9499</issn><issn>1558-1578</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1LAzEQxRdRsFbvgpeA562ZbLKbHEupVSgqWM8h5qNN2d3UJHvwv3dLi6dhmPdm3vyK4h7wDACLp83b54xgaGakgYpzflFMgDFeAmv4ZTHBGHgpqBDXxU1K-7GlDLNJsXlWKSPVG7R0zmtv-4zm7TZEn3ddQi5EtAjdYcgq-9CrFi1bq3MMndr2NnudUOjR6uMLzaPe-TzOhmhviyun2mTvznU6nlluFi_l-n31upivS00E5NIYSrXRUINxjSJOMEKZAoVpZXlt8PiWYVg38M0o5UZXtm54pV1FGqcAqmnxeFp7iOFnsCnLfRjiGDJJECBqCoTgUYVPKh1DStE6eYi-U_FXApZHdHJEJ4_o5BndaHk4Wby19l_eCErruq7-AAAIaig</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Maceina, Tautvydas</creator><creator>Bettini, Paolo</creator><creator>Manduchi, Gabriele</creator><creator>Passarotto, Mauro</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QL</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7N</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0002-4418-5655</orcidid><orcidid>https://orcid.org/0000-0003-2731-685X</orcidid></search><sort><creationdate>20170701</creationdate><title>Fast and Efficient Algorithms for Computational Electromagnetics on GPU Architecture</title><author>Maceina, Tautvydas ; Bettini, Paolo ; Manduchi, Gabriele ; Passarotto, Mauro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-dd44cdc161df7a2f95245a1a043e86d0109d50c71b5448dc3e6783cf327fa113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Computational electromagnetics</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Computer architecture</topic><topic>Current density</topic><topic>Fluid flow</topic><topic>GPU</topic><topic>Graphics processing units</topic><topic>magnetic confinement fusion (MCF)</topic><topic>Magnetic domains</topic><topic>Magnetic measurement</topic><topic>Magnetism</topic><topic>Magnetohydrodynamics</topic><topic>Plasma equilibrium</topic><topic>Random access memory</topic><topic>Real time</topic><topic>Sensors</topic><topic>synthetic magnetic measurements</topic><topic>Toroidal magnetic fields</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maceina, Tautvydas</creatorcontrib><creatorcontrib>Bettini, Paolo</creatorcontrib><creatorcontrib>Manduchi, Gabriele</creatorcontrib><creatorcontrib>Passarotto, Mauro</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>IEEE transactions on nuclear science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Maceina, Tautvydas</au><au>Bettini, Paolo</au><au>Manduchi, Gabriele</au><au>Passarotto, Mauro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fast and Efficient Algorithms for Computational Electromagnetics on GPU Architecture</atitle><jtitle>IEEE transactions on nuclear science</jtitle><stitle>TNS</stitle><date>2017-07-01</date><risdate>2017</risdate><volume>64</volume><issue>7</issue><spage>1983</spage><epage>1987</epage><pages>1983-1987</pages><issn>0018-9499</issn><eissn>1558-1578</eissn><coden>IETNAE</coden><abstract>Magnetic diagnostics are essential for the operation and understanding of a magnetic confinement fusion (MCF) device, for example, by providing in real-time, the axisymmetric measurements needed for plasma equilibrium reconstructions or magnetohydrodynamic instabilities control. In this paper, we present a fast and robust implementation on GPU architecture of an accurate algorithm suitable for the computation of synthetic magnetic measurements used both in real time applications and off-line reconstruction procedures. The proposed procedure is first applied to benchmark problems, to validate the compute unified device architecture implementation, and then to cases of practical interests in MCF.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TNS.2017.2713888</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-4418-5655</orcidid><orcidid>https://orcid.org/0000-0003-2731-685X</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0018-9499 |
| ispartof | IEEE transactions on nuclear science, 2017-07, Vol.64 (7), p.1983-1987 |
| issn | 0018-9499 1558-1578 |
| language | eng |
| recordid | cdi_ieee_primary_7944666 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Computational electromagnetics Computational fluid dynamics Computer applications Computer architecture Current density Fluid flow GPU Graphics processing units magnetic confinement fusion (MCF) Magnetic domains Magnetic measurement Magnetism Magnetohydrodynamics Plasma equilibrium Random access memory Real time Sensors synthetic magnetic measurements Toroidal magnetic fields |
| title | Fast and Efficient Algorithms for Computational Electromagnetics on GPU Architecture |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T07%3A02%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fast%20and%20Efficient%20Algorithms%20for%20Computational%20Electromagnetics%20on%20GPU%20Architecture&rft.jtitle=IEEE%20transactions%20on%20nuclear%20science&rft.au=Maceina,%20Tautvydas&rft.date=2017-07-01&rft.volume=64&rft.issue=7&rft.spage=1983&rft.epage=1987&rft.pages=1983-1987&rft.issn=0018-9499&rft.eissn=1558-1578&rft.coden=IETNAE&rft_id=info:doi/10.1109/TNS.2017.2713888&rft_dat=%3Cproquest_RIE%3E1919641220%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1919641220&rft_id=info:pmid/&rft_ieee_id=7944666&rfr_iscdi=true |