MPI+OpenMP Implementation and Results Analysis of Matrix Multiplication Based on Rowwise and Columnwise Block-Striped Decomposition of the Matrices
This paper outlines the MPI+OpenMP programming model, and implements the matrix multiplication based on rowwise and columnwise block-striped decomposition of the matrices with MPI+OpenMP programming model in the multi-core cluster system. Experimental results show that the running time of the parall...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 307 |
|---|---|
| container_issue | |
| container_start_page | 304 |
| container_title | |
| container_volume | 2 |
| creator | Lidong He Weichang Shen Yongjin Li Anlei Shi Dong Zhao |
| description | This paper outlines the MPI+OpenMP programming model, and implements the matrix multiplication based on rowwise and columnwise block-striped decomposition of the matrices with MPI+OpenMP programming model in the multi-core cluster system. Experimental results show that the running time of the parallel algorithm is reduced significantly. By further analyzing the running results, the running time is reduced obviously once again. |
| doi_str_mv | 10.1109/CSO.2010.123 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5533007</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5533007</ieee_id><sourcerecordid>5533007</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-25c111f325b83f887c366486d957ffcabcdaae336ff027e764ce00ff385291a73</originalsourceid><addsrcrecordid>eNpFjMtuwjAQRV1VSC2UXXfdeF-F-hknS0hfSEQgYI-MM1bdJnGEgyjf0R9ugEqdzczV3HMQuqdkRClJn7LVfMTIKTF-hfpUMCHihHJ2_R-Y6KH-qZQyxlJ1g4YhfJJuhKSJErfoJ19MH-cN1PkCT6umhArqVrfO11jXBV5C2JdtwONal8fgAvYW57rduW-cdw_XlM5c2hMdoMDdsfSHgwtwxjNf7qv6HCelN1_RqkObrvcMxleND-7MdtL2Ay5iA-EO9awuAwz_9gCtX1_W2Xs0m79Ns_EscilpIyYNpdRyJrcJt0miDI9jkcRFKpW1Rm9NoTVwHltLmAIVCwOEWMsTyVKqFR-gh4vWAcCm2blK744bKTknRPFf6kJo8Q</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>MPI+OpenMP Implementation and Results Analysis of Matrix Multiplication Based on Rowwise and Columnwise Block-Striped Decomposition of the Matrices</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Lidong He ; Weichang Shen ; Yongjin Li ; Anlei Shi ; Dong Zhao</creator><creatorcontrib>Lidong He ; Weichang Shen ; Yongjin Li ; Anlei Shi ; Dong Zhao</creatorcontrib><description>This paper outlines the MPI+OpenMP programming model, and implements the matrix multiplication based on rowwise and columnwise block-striped decomposition of the matrices with MPI+OpenMP programming model in the multi-core cluster system. Experimental results show that the running time of the parallel algorithm is reduced significantly. By further analyzing the running results, the running time is reduced obviously once again.</description><identifier>ISBN: 1424468124</identifier><identifier>ISBN: 9781424468126</identifier><identifier>EISBN: 1424468132</identifier><identifier>EISBN: 9781424468133</identifier><identifier>DOI: 10.1109/CSO.2010.123</identifier><identifier>LCCN: 2010922297</identifier><language>eng</language><publisher>IEEE</publisher><subject>Central Processing Unit ; Computer networks ; Concurrent computing ; hybrid MPI/OpenMP programming model ; Matrix decomposition ; matrix multiplication based on rowwise and columnwise block-striped decomposition of the matrices ; multi-core cluster ; Parallel processing ; Parallel programming</subject><ispartof>2010 Third International Joint Conference on Computational Science and Optimization, 2010, Vol.2, p.304-307</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5533007$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5533007$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lidong He</creatorcontrib><creatorcontrib>Weichang Shen</creatorcontrib><creatorcontrib>Yongjin Li</creatorcontrib><creatorcontrib>Anlei Shi</creatorcontrib><creatorcontrib>Dong Zhao</creatorcontrib><title>MPI+OpenMP Implementation and Results Analysis of Matrix Multiplication Based on Rowwise and Columnwise Block-Striped Decomposition of the Matrices</title><title>2010 Third International Joint Conference on Computational Science and Optimization</title><addtitle>CSO</addtitle><description>This paper outlines the MPI+OpenMP programming model, and implements the matrix multiplication based on rowwise and columnwise block-striped decomposition of the matrices with MPI+OpenMP programming model in the multi-core cluster system. Experimental results show that the running time of the parallel algorithm is reduced significantly. By further analyzing the running results, the running time is reduced obviously once again.</description><subject>Central Processing Unit</subject><subject>Computer networks</subject><subject>Concurrent computing</subject><subject>hybrid MPI/OpenMP programming model</subject><subject>Matrix decomposition</subject><subject>matrix multiplication based on rowwise and columnwise block-striped decomposition of the matrices</subject><subject>multi-core cluster</subject><subject>Parallel processing</subject><subject>Parallel programming</subject><isbn>1424468124</isbn><isbn>9781424468126</isbn><isbn>1424468132</isbn><isbn>9781424468133</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFjMtuwjAQRV1VSC2UXXfdeF-F-hknS0hfSEQgYI-MM1bdJnGEgyjf0R9ugEqdzczV3HMQuqdkRClJn7LVfMTIKTF-hfpUMCHihHJ2_R-Y6KH-qZQyxlJ1g4YhfJJuhKSJErfoJ19MH-cN1PkCT6umhArqVrfO11jXBV5C2JdtwONal8fgAvYW57rduW-cdw_XlM5c2hMdoMDdsfSHgwtwxjNf7qv6HCelN1_RqkObrvcMxleND-7MdtL2Ay5iA-EO9awuAwz_9gCtX1_W2Xs0m79Ns_EscilpIyYNpdRyJrcJt0miDI9jkcRFKpW1Rm9NoTVwHltLmAIVCwOEWMsTyVKqFR-gh4vWAcCm2blK744bKTknRPFf6kJo8Q</recordid><startdate>201005</startdate><enddate>201005</enddate><creator>Lidong He</creator><creator>Weichang Shen</creator><creator>Yongjin Li</creator><creator>Anlei Shi</creator><creator>Dong Zhao</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201005</creationdate><title>MPI+OpenMP Implementation and Results Analysis of Matrix Multiplication Based on Rowwise and Columnwise Block-Striped Decomposition of the Matrices</title><author>Lidong He ; Weichang Shen ; Yongjin Li ; Anlei Shi ; Dong Zhao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-25c111f325b83f887c366486d957ffcabcdaae336ff027e764ce00ff385291a73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Central Processing Unit</topic><topic>Computer networks</topic><topic>Concurrent computing</topic><topic>hybrid MPI/OpenMP programming model</topic><topic>Matrix decomposition</topic><topic>matrix multiplication based on rowwise and columnwise block-striped decomposition of the matrices</topic><topic>multi-core cluster</topic><topic>Parallel processing</topic><topic>Parallel programming</topic><toplevel>online_resources</toplevel><creatorcontrib>Lidong He</creatorcontrib><creatorcontrib>Weichang Shen</creatorcontrib><creatorcontrib>Yongjin Li</creatorcontrib><creatorcontrib>Anlei Shi</creatorcontrib><creatorcontrib>Dong Zhao</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lidong He</au><au>Weichang Shen</au><au>Yongjin Li</au><au>Anlei Shi</au><au>Dong Zhao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>MPI+OpenMP Implementation and Results Analysis of Matrix Multiplication Based on Rowwise and Columnwise Block-Striped Decomposition of the Matrices</atitle><btitle>2010 Third International Joint Conference on Computational Science and Optimization</btitle><stitle>CSO</stitle><date>2010-05</date><risdate>2010</risdate><volume>2</volume><spage>304</spage><epage>307</epage><pages>304-307</pages><isbn>1424468124</isbn><isbn>9781424468126</isbn><eisbn>1424468132</eisbn><eisbn>9781424468133</eisbn><abstract>This paper outlines the MPI+OpenMP programming model, and implements the matrix multiplication based on rowwise and columnwise block-striped decomposition of the matrices with MPI+OpenMP programming model in the multi-core cluster system. Experimental results show that the running time of the parallel algorithm is reduced significantly. By further analyzing the running results, the running time is reduced obviously once again.</abstract><pub>IEEE</pub><doi>10.1109/CSO.2010.123</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 1424468124 |
| ispartof | 2010 Third International Joint Conference on Computational Science and Optimization, 2010, Vol.2, p.304-307 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_5533007 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Central Processing Unit Computer networks Concurrent computing hybrid MPI/OpenMP programming model Matrix decomposition matrix multiplication based on rowwise and columnwise block-striped decomposition of the matrices multi-core cluster Parallel processing Parallel programming |
| title | MPI+OpenMP Implementation and Results Analysis of Matrix Multiplication Based on Rowwise and Columnwise Block-Striped Decomposition of the Matrices |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T10%3A46%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=MPI+OpenMP%20Implementation%20and%20Results%20Analysis%20of%20Matrix%20Multiplication%20Based%20on%20Rowwise%20and%20Columnwise%20Block-Striped%20Decomposition%20of%20the%20Matrices&rft.btitle=2010%20Third%20International%20Joint%20Conference%20on%20Computational%20Science%20and%20Optimization&rft.au=Lidong%20He&rft.date=2010-05&rft.volume=2&rft.spage=304&rft.epage=307&rft.pages=304-307&rft.isbn=1424468124&rft.isbn_list=9781424468126&rft_id=info:doi/10.1109/CSO.2010.123&rft_dat=%3Cieee_6IE%3E5533007%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424468132&rft.eisbn_list=9781424468133&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5533007&rfr_iscdi=true |