In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms
The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i. e., in situ processing, is due to several factors. First is an I/O cost savings, where data is analyzed/visualized while being generated, without f...
Gespeichert in:
| Veröffentlicht in: | Computer graphics forum 2016-06, Vol.35 (3), p.577-597 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 597 |
|---|---|
| container_issue | 3 |
| container_start_page | 577 |
| container_title | Computer graphics forum |
| container_volume | 35 |
| creator | Bauer, A. C. Abbasi, H. Ahrens, J. Childs, H. Geveci, B. Klasky, S. Moreland, K. O'Leary, P. Vishwanath, V. Whitlock, B. Bethel, E. W. |
| description | The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i. e., in situ processing, is due to several factors. First is an I/O cost savings, where data is analyzed/visualized while being generated, without first storing to a filesystem. Second is the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third is the ability to use all available resources, CPU's and accelerators, in the computation of analysis products. This STAR paper brings together researchers, developers and practitioners using in situ methods in extreme‐scale HPC with the goal to present existing methods, infrastructures, and a range of computational science and engineering applications using in situ analysis and visualization. |
| doi_str_mv | 10.1111/cgf.12930 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_1595010</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1825541943</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4960-36d5d2f6b185cc03334104ee8ea2d6db26fb4f28988a48079ecbeb66d2171f873</originalsourceid><addsrcrecordid>eNp10U1vFCEcBnBiNHGtHvwGE71o4rQwvM6x3djdta028S3xQhgGdqmzMAKTtt9e1lEPJnKB_PN7IOQB4DmCx6isE721x6hpMXwAFogwXgtG24dgAVE5c0jpY_AkpRsIIeGMLsC3ja8-ujxVVybvQp_eVBtvo0o5TjpP0ZSB8n11Oo6D0yq74FMVfLV22111baINca-8NtUy7McpO7-trgeVD-P0FDyyakjm2e_9CHw-f_tpua4vP6w2y9PLWpOWwRqznvaNZR0SVGuIMSYIEmOEUU3P-q5htiO2Ea0QigjIW6M70zHWN4gjKzg-Ai_me0PKTibtstE7Hbw3OktEWwoRLOjVjMYYfkwmZbl3SZthUN6EKUkkGkoJagku9OU_9CZM0ZcvFAUR4S1qDq--npWOIaVorByj26t4LxGUhypkqUL-qqLYk9neusHc_x_K5er8T6KeEy5lc_c3oeJ3yTjmVH59v5Lrs3fs6qK5kF_wT7LHmB0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1801479127</pqid></control><display><type>article</type><title>In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms</title><source>Wiley Online Library Journals Frontfile Complete</source><source>Business Source Complete</source><creator>Bauer, A. C. ; Abbasi, H. ; Ahrens, J. ; Childs, H. ; Geveci, B. ; Klasky, S. ; Moreland, K. ; O'Leary, P. ; Vishwanath, V. ; Whitlock, B. ; Bethel, E. W.</creator><creatorcontrib>Bauer, A. C. ; Abbasi, H. ; Ahrens, J. ; Childs, H. ; Geveci, B. ; Klasky, S. ; Moreland, K. ; O'Leary, P. ; Vishwanath, V. ; Whitlock, B. ; Bethel, E. W. ; Kitware, Inc., Clifton Park, NY (United States) ; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States) ; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</creatorcontrib><description>The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i. e., in situ processing, is due to several factors. First is an I/O cost savings, where data is analyzed/visualized while being generated, without first storing to a filesystem. Second is the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third is the ability to use all available resources, CPU's and accelerators, in the computation of analysis products. This STAR paper brings together researchers, developers and practitioners using in situ methods in extreme‐scale HPC with the goal to present existing methods, infrastructures, and a range of computational science and engineering applications using in situ analysis and visualization.</description><identifier>ISSN: 0167-7055</identifier><identifier>EISSN: 1467-8659</identifier><identifier>DOI: 10.1111/cgf.12930</identifier><language>eng</language><publisher>Oxford: Blackwell Publishing Ltd</publisher><subject>Accelerators ; Analysis ; Categories and Subject Descriptors (according to ACM CCS) ; Communities ; Computation ; Computer science ; Cost engineering ; High performance computing ; I.3.2 [Computer Graphics]: Graphics Systems-Distributed/network graphics ; Infrastructure ; MATHEMATICS AND COMPUTING ; Platforms ; Sampling ; Studies ; Visualization</subject><ispartof>Computer graphics forum, 2016-06, Vol.35 (3), p.577-597</ispartof><rights>2016 The Author(s) Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.</rights><rights>2016 The Eurographics Association and John Wiley & Sons Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4960-36d5d2f6b185cc03334104ee8ea2d6db26fb4f28988a48079ecbeb66d2171f873</citedby><cites>FETCH-LOGICAL-c4960-36d5d2f6b185cc03334104ee8ea2d6db26fb4f28988a48079ecbeb66d2171f873</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fcgf.12930$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fcgf.12930$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/1595010$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Bauer, A. C.</creatorcontrib><creatorcontrib>Abbasi, H.</creatorcontrib><creatorcontrib>Ahrens, J.</creatorcontrib><creatorcontrib>Childs, H.</creatorcontrib><creatorcontrib>Geveci, B.</creatorcontrib><creatorcontrib>Klasky, S.</creatorcontrib><creatorcontrib>Moreland, K.</creatorcontrib><creatorcontrib>O'Leary, P.</creatorcontrib><creatorcontrib>Vishwanath, V.</creatorcontrib><creatorcontrib>Whitlock, B.</creatorcontrib><creatorcontrib>Bethel, E. W.</creatorcontrib><creatorcontrib>Kitware, Inc., Clifton Park, NY (United States)</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</creatorcontrib><title>In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms</title><title>Computer graphics forum</title><addtitle>Computer Graphics Forum</addtitle><description>The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i. e., in situ processing, is due to several factors. First is an I/O cost savings, where data is analyzed/visualized while being generated, without first storing to a filesystem. Second is the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third is the ability to use all available resources, CPU's and accelerators, in the computation of analysis products. This STAR paper brings together researchers, developers and practitioners using in situ methods in extreme‐scale HPC with the goal to present existing methods, infrastructures, and a range of computational science and engineering applications using in situ analysis and visualization.</description><subject>Accelerators</subject><subject>Analysis</subject><subject>Categories and Subject Descriptors (according to ACM CCS)</subject><subject>Communities</subject><subject>Computation</subject><subject>Computer science</subject><subject>Cost engineering</subject><subject>High performance computing</subject><subject>I.3.2 [Computer Graphics]: Graphics Systems-Distributed/network graphics</subject><subject>Infrastructure</subject><subject>MATHEMATICS AND COMPUTING</subject><subject>Platforms</subject><subject>Sampling</subject><subject>Studies</subject><subject>Visualization</subject><issn>0167-7055</issn><issn>1467-8659</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp10U1vFCEcBnBiNHGtHvwGE71o4rQwvM6x3djdta028S3xQhgGdqmzMAKTtt9e1lEPJnKB_PN7IOQB4DmCx6isE721x6hpMXwAFogwXgtG24dgAVE5c0jpY_AkpRsIIeGMLsC3ja8-ujxVVybvQp_eVBtvo0o5TjpP0ZSB8n11Oo6D0yq74FMVfLV22111baINca-8NtUy7McpO7-trgeVD-P0FDyyakjm2e_9CHw-f_tpua4vP6w2y9PLWpOWwRqznvaNZR0SVGuIMSYIEmOEUU3P-q5htiO2Ea0QigjIW6M70zHWN4gjKzg-Ai_me0PKTibtstE7Hbw3OktEWwoRLOjVjMYYfkwmZbl3SZthUN6EKUkkGkoJagku9OU_9CZM0ZcvFAUR4S1qDq--npWOIaVorByj26t4LxGUhypkqUL-qqLYk9neusHc_x_K5er8T6KeEy5lc_c3oeJ3yTjmVH59v5Lrs3fs6qK5kF_wT7LHmB0</recordid><startdate>201606</startdate><enddate>201606</enddate><creator>Bauer, A. C.</creator><creator>Abbasi, H.</creator><creator>Ahrens, J.</creator><creator>Childs, H.</creator><creator>Geveci, B.</creator><creator>Klasky, S.</creator><creator>Moreland, K.</creator><creator>O'Leary, P.</creator><creator>Vishwanath, V.</creator><creator>Whitlock, B.</creator><creator>Bethel, E. W.</creator><general>Blackwell Publishing Ltd</general><general>Wiley</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope><scope>OIOZB</scope><scope>OTOTI</scope></search><sort><creationdate>201606</creationdate><title>In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms</title><author>Bauer, A. C. ; Abbasi, H. ; Ahrens, J. ; Childs, H. ; Geveci, B. ; Klasky, S. ; Moreland, K. ; O'Leary, P. ; Vishwanath, V. ; Whitlock, B. ; Bethel, E. W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4960-36d5d2f6b185cc03334104ee8ea2d6db26fb4f28988a48079ecbeb66d2171f873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accelerators</topic><topic>Analysis</topic><topic>Categories and Subject Descriptors (according to ACM CCS)</topic><topic>Communities</topic><topic>Computation</topic><topic>Computer science</topic><topic>Cost engineering</topic><topic>High performance computing</topic><topic>I.3.2 [Computer Graphics]: Graphics Systems-Distributed/network graphics</topic><topic>Infrastructure</topic><topic>MATHEMATICS AND COMPUTING</topic><topic>Platforms</topic><topic>Sampling</topic><topic>Studies</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bauer, A. C.</creatorcontrib><creatorcontrib>Abbasi, H.</creatorcontrib><creatorcontrib>Ahrens, J.</creatorcontrib><creatorcontrib>Childs, H.</creatorcontrib><creatorcontrib>Geveci, B.</creatorcontrib><creatorcontrib>Klasky, S.</creatorcontrib><creatorcontrib>Moreland, K.</creatorcontrib><creatorcontrib>O'Leary, P.</creatorcontrib><creatorcontrib>Vishwanath, V.</creatorcontrib><creatorcontrib>Whitlock, B.</creatorcontrib><creatorcontrib>Bethel, E. W.</creatorcontrib><creatorcontrib>Kitware, Inc., Clifton Park, NY (United States)</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</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>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>Computer graphics forum</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bauer, A. C.</au><au>Abbasi, H.</au><au>Ahrens, J.</au><au>Childs, H.</au><au>Geveci, B.</au><au>Klasky, S.</au><au>Moreland, K.</au><au>O'Leary, P.</au><au>Vishwanath, V.</au><au>Whitlock, B.</au><au>Bethel, E. W.</au><aucorp>Kitware, Inc., Clifton Park, NY (United States)</aucorp><aucorp>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</aucorp><aucorp>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms</atitle><jtitle>Computer graphics forum</jtitle><addtitle>Computer Graphics Forum</addtitle><date>2016-06</date><risdate>2016</risdate><volume>35</volume><issue>3</issue><spage>577</spage><epage>597</epage><pages>577-597</pages><issn>0167-7055</issn><eissn>1467-8659</eissn><abstract>The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i. e., in situ processing, is due to several factors. First is an I/O cost savings, where data is analyzed/visualized while being generated, without first storing to a filesystem. Second is the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third is the ability to use all available resources, CPU's and accelerators, in the computation of analysis products. This STAR paper brings together researchers, developers and practitioners using in situ methods in extreme‐scale HPC with the goal to present existing methods, infrastructures, and a range of computational science and engineering applications using in situ analysis and visualization.</abstract><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/cgf.12930</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0167-7055 |
| ispartof | Computer graphics forum, 2016-06, Vol.35 (3), p.577-597 |
| issn | 0167-7055 1467-8659 |
| language | eng |
| recordid | cdi_osti_scitechconnect_1595010 |
| source | Wiley Online Library Journals Frontfile Complete; Business Source Complete |
| subjects | Accelerators Analysis Categories and Subject Descriptors (according to ACM CCS) Communities Computation Computer science Cost engineering High performance computing I.3.2 [Computer Graphics]: Graphics Systems-Distributed/network graphics Infrastructure MATHEMATICS AND COMPUTING Platforms Sampling Studies Visualization |
| title | In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T10%3A49%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_osti_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=In%20Situ%20Methods,%20Infrastructures,%20and%20Applications%20on%20High%20Performance%20Computing%20Platforms&rft.jtitle=Computer%20graphics%20forum&rft.au=Bauer,%20A.%20C.&rft.aucorp=Kitware,%20Inc.,%20Clifton%20Park,%20NY%20(United%20States)&rft.date=2016-06&rft.volume=35&rft.issue=3&rft.spage=577&rft.epage=597&rft.pages=577-597&rft.issn=0167-7055&rft.eissn=1467-8659&rft_id=info:doi/10.1111/cgf.12930&rft_dat=%3Cproquest_osti_%3E1825541943%3C/proquest_osti_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1801479127&rft_id=info:pmid/&rfr_iscdi=true |