PyCOMPSs as an Instrument for Translational Computer Science
With the advent of distributed computing, the need for frameworks that facilitate its programming and management has also appeared. These tools have typically been used to support the research on application areas that require them. This poses good initial conditions for translational computer scien...
Gespeichert in:
| Veröffentlicht in: | Computing in science & engineering 2022-03, Vol.24 (2), p.79-84 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 84 |
|---|---|
| container_issue | 2 |
| container_start_page | 79 |
| container_title | Computing in science & engineering |
| container_volume | 24 |
| creator | Badia, Rosa M. Conejero, Javier Ejarque, Jorge Lezzi, Daniele Lordan, Francesc |
| description | With the advent of distributed computing, the need for frameworks that facilitate its programming and management has also appeared. These tools have typically been used to support the research on application areas that require them. This poses good initial conditions for translational computer science (TCS), although this does not always occur. This article describes our experience with the PyCOMPSs project, a programming model for distributed computing. While it is a research instrument for our team, it has also been applied in multiple real use cases under the umbrella of European Funded projects, or as part of internal projects between various departments at the Barcelona Supercomputing Center. This article illustrates how the authors have engaged in TCS as an underlying research methodology, collecting experiences from three European projects. |
| doi_str_mv | 10.1109/MCSE.2022.3152945 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2674081687</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2674081687</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-d06563c2760c9685a7ab397459561d63aa954e333cef393c568f3af0921c08333</originalsourceid><addsrcrecordid>eNotkFFLwzAQx4MoOKcfwLeCz525XHNNwBcpUwcbG2yCbyFmKXR07Uzah317Wzb4w_05fhzHj7Fn4DMArl9XxXY-E1yIGYIUOpM3bAJSqhSJfm7HLiDVBPKePcR44JxnSssJe9uci_Vqs42JHdIkiyZ2oT_6pkvKNiS7YJtY265qG1snRXs89Z0PydZVvnH-kd2Vto7-6Tqn7Ptjviu-0uX6c1G8L1OHQF265yQJnciJO01K2tz-os4zqSXBntBaLTOPiM6XqNFJUiXakmsBjqthP2Uvl7un0P71Pnbm0PZh-CgaQXnGFZDKBwoulAttjMGX5hSqow1nA9yMkswoyYySzFUS_gPfl1fy</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2674081687</pqid></control><display><type>article</type><title>PyCOMPSs as an Instrument for Translational Computer Science</title><source>IEEE Xplore</source><creator>Badia, Rosa M. ; Conejero, Javier ; Ejarque, Jorge ; Lezzi, Daniele ; Lordan, Francesc</creator><contributor>David Abramson ; Manish Parashar</contributor><creatorcontrib>Badia, Rosa M. ; Conejero, Javier ; Ejarque, Jorge ; Lezzi, Daniele ; Lordan, Francesc ; David Abramson ; Manish Parashar</creatorcontrib><description>With the advent of distributed computing, the need for frameworks that facilitate its programming and management has also appeared. These tools have typically been used to support the research on application areas that require them. This poses good initial conditions for translational computer science (TCS), although this does not always occur. This article describes our experience with the PyCOMPSs project, a programming model for distributed computing. While it is a research instrument for our team, it has also been applied in multiple real use cases under the umbrella of European Funded projects, or as part of internal projects between various departments at the Barcelona Supercomputing Center. This article illustrates how the authors have engaged in TCS as an underlying research methodology, collecting experiences from three European projects.</description><identifier>ISSN: 1521-9615</identifier><identifier>EISSN: 1558-366X</identifier><identifier>DOI: 10.1109/MCSE.2022.3152945</identifier><language>eng</language><publisher>New York: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</publisher><subject>Computer networks ; Distributed processing ; Initial conditions</subject><ispartof>Computing in science & engineering, 2022-03, Vol.24 (2), p.79-84</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-d06563c2760c9685a7ab397459561d63aa954e333cef393c568f3af0921c08333</citedby><cites>FETCH-LOGICAL-c316t-d06563c2760c9685a7ab397459561d63aa954e333cef393c568f3af0921c08333</cites><orcidid>0000-0003-2941-5499 ; 0000-0001-5081-7244 ; 0000-0001-6401-6229 ; 0000-0002-9845-8890 ; 0000-0003-4725-5097</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><contributor>David Abramson</contributor><contributor>Manish Parashar</contributor><creatorcontrib>Badia, Rosa M.</creatorcontrib><creatorcontrib>Conejero, Javier</creatorcontrib><creatorcontrib>Ejarque, Jorge</creatorcontrib><creatorcontrib>Lezzi, Daniele</creatorcontrib><creatorcontrib>Lordan, Francesc</creatorcontrib><title>PyCOMPSs as an Instrument for Translational Computer Science</title><title>Computing in science & engineering</title><description>With the advent of distributed computing, the need for frameworks that facilitate its programming and management has also appeared. These tools have typically been used to support the research on application areas that require them. This poses good initial conditions for translational computer science (TCS), although this does not always occur. This article describes our experience with the PyCOMPSs project, a programming model for distributed computing. While it is a research instrument for our team, it has also been applied in multiple real use cases under the umbrella of European Funded projects, or as part of internal projects between various departments at the Barcelona Supercomputing Center. This article illustrates how the authors have engaged in TCS as an underlying research methodology, collecting experiences from three European projects.</description><subject>Computer networks</subject><subject>Distributed processing</subject><subject>Initial conditions</subject><issn>1521-9615</issn><issn>1558-366X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNotkFFLwzAQx4MoOKcfwLeCz525XHNNwBcpUwcbG2yCbyFmKXR07Uzah317Wzb4w_05fhzHj7Fn4DMArl9XxXY-E1yIGYIUOpM3bAJSqhSJfm7HLiDVBPKePcR44JxnSssJe9uci_Vqs42JHdIkiyZ2oT_6pkvKNiS7YJtY265qG1snRXs89Z0PydZVvnH-kd2Vto7-6Tqn7Ptjviu-0uX6c1G8L1OHQF265yQJnciJO01K2tz-os4zqSXBntBaLTOPiM6XqNFJUiXakmsBjqthP2Uvl7un0P71Pnbm0PZh-CgaQXnGFZDKBwoulAttjMGX5hSqow1nA9yMkswoyYySzFUS_gPfl1fy</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Badia, Rosa M.</creator><creator>Conejero, Javier</creator><creator>Ejarque, Jorge</creator><creator>Lezzi, Daniele</creator><creator>Lordan, Francesc</creator><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-2941-5499</orcidid><orcidid>https://orcid.org/0000-0001-5081-7244</orcidid><orcidid>https://orcid.org/0000-0001-6401-6229</orcidid><orcidid>https://orcid.org/0000-0002-9845-8890</orcidid><orcidid>https://orcid.org/0000-0003-4725-5097</orcidid></search><sort><creationdate>20220301</creationdate><title>PyCOMPSs as an Instrument for Translational Computer Science</title><author>Badia, Rosa M. ; Conejero, Javier ; Ejarque, Jorge ; Lezzi, Daniele ; Lordan, Francesc</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-d06563c2760c9685a7ab397459561d63aa954e333cef393c568f3af0921c08333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computer networks</topic><topic>Distributed processing</topic><topic>Initial conditions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Badia, Rosa M.</creatorcontrib><creatorcontrib>Conejero, Javier</creatorcontrib><creatorcontrib>Ejarque, Jorge</creatorcontrib><creatorcontrib>Lezzi, Daniele</creatorcontrib><creatorcontrib>Lordan, Francesc</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering 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><jtitle>Computing in science & engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Badia, Rosa M.</au><au>Conejero, Javier</au><au>Ejarque, Jorge</au><au>Lezzi, Daniele</au><au>Lordan, Francesc</au><au>David Abramson</au><au>Manish Parashar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PyCOMPSs as an Instrument for Translational Computer Science</atitle><jtitle>Computing in science & engineering</jtitle><date>2022-03-01</date><risdate>2022</risdate><volume>24</volume><issue>2</issue><spage>79</spage><epage>84</epage><pages>79-84</pages><issn>1521-9615</issn><eissn>1558-366X</eissn><abstract>With the advent of distributed computing, the need for frameworks that facilitate its programming and management has also appeared. These tools have typically been used to support the research on application areas that require them. This poses good initial conditions for translational computer science (TCS), although this does not always occur. This article describes our experience with the PyCOMPSs project, a programming model for distributed computing. While it is a research instrument for our team, it has also been applied in multiple real use cases under the umbrella of European Funded projects, or as part of internal projects between various departments at the Barcelona Supercomputing Center. This article illustrates how the authors have engaged in TCS as an underlying research methodology, collecting experiences from three European projects.</abstract><cop>New York</cop><pub>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</pub><doi>10.1109/MCSE.2022.3152945</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-2941-5499</orcidid><orcidid>https://orcid.org/0000-0001-5081-7244</orcidid><orcidid>https://orcid.org/0000-0001-6401-6229</orcidid><orcidid>https://orcid.org/0000-0002-9845-8890</orcidid><orcidid>https://orcid.org/0000-0003-4725-5097</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1521-9615 |
| ispartof | Computing in science & engineering, 2022-03, Vol.24 (2), p.79-84 |
| issn | 1521-9615 1558-366X |
| language | eng |
| recordid | cdi_proquest_journals_2674081687 |
| source | IEEE Xplore |
| subjects | Computer networks Distributed processing Initial conditions |
| title | PyCOMPSs as an Instrument for Translational Computer Science |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T23%3A14%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=PyCOMPSs%20as%20an%20Instrument%20for%20Translational%20Computer%20Science&rft.jtitle=Computing%20in%20science%20&%20engineering&rft.au=Badia,%20Rosa%20M.&rft.date=2022-03-01&rft.volume=24&rft.issue=2&rft.spage=79&rft.epage=84&rft.pages=79-84&rft.issn=1521-9615&rft.eissn=1558-366X&rft_id=info:doi/10.1109/MCSE.2022.3152945&rft_dat=%3Cproquest_cross%3E2674081687%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2674081687&rft_id=info:pmid/&rfr_iscdi=true |