{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:27:49Z","timestamp":1742977669853,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319936970"},{"type":"electronic","value":"9783319936987"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-93698-7_33","type":"book-chapter","created":{"date-parts":[[2018,6,11]],"date-time":"2018-06-11T19:30:25Z","timestamp":1528745425000},"page":"429-443","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["nSharma: Numerical Simulation Heterogeneity Aware Runtime Manager for OpenFOAM"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6593-4627","authenticated-orcid":false,"given":"Roberto","family":"Ribeiro","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4466-1129","authenticated-orcid":false,"given":"Lu\u00eds Paulo","family":"Santos","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5303-6467","authenticated-orcid":false,"given":"Jo\u00e3o Miguel","family":"N\u00f3brega","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,12]]},"reference":[{"key":"33_CR1","unstructured":"ANSYS: ANSYS CFX Users\u2019 Guide (2017)"},{"key":"33_CR2","unstructured":"ANSYS: ANSYS Fluent User\u2019s Guide (2017)"},{"key":"33_CR3","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1109\/TPDS.2004.1264800","volume":"15","author":"K Barker","year":"2004","unstructured":"Barker, K., et al.: A load balancing framework for adaptive and asynchronous applications. IEEE Trans. Parallel Distrib. Syst. 15, 183\u2013192 (2004)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"33_CR4","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/S0307-904X(00)00043-3","volume":"25","author":"A Basermann","year":"2000","unstructured":"Basermann, A., et al.: Dynamic load-balancing of finite element applications with the DRAMA library. Appl. Math. Model. 25, 83\u201398 (2000)","journal-title":"Appl. Math. Model."},{"key":"33_CR5","first-page":"1","volume":"18","author":"AR Brodtkorb","year":"2010","unstructured":"Brodtkorb, A.R., et al.: State-of-the-art in heterogeneous computing. Sci. Program. 18, 1\u201333 (2010)","journal-title":"Sci. Program."},{"key":"33_CR6","unstructured":"CD-adapco: STAR-CCM+ (2017)"},{"key":"33_CR7","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1016\/j.parco.2007.12.001","volume":"34","author":"C Chevalier","year":"2008","unstructured":"Chevalier, C., Pellegrini, F.: PT-Scotch: a tool for efficient parallel graph ordering. Parallel Comput. 34, 318\u2013331 (2008)","journal-title":"Parallel Comput."},{"key":"33_CR8","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1142\/S0129626411000163","volume":"21","author":"D Clarke","year":"2011","unstructured":"Clarke, D., Lastovetsky, A., Rychkov, V.: Dynamic load balancing of parallel computational iterative routines on highly heterogeneous HPC platforms. Parallel Process. Lett. 21, 195\u2013217 (2011)","journal-title":"Parallel Process. Lett."},{"key":"33_CR9","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s11227-014-1207-9","volume":"69","author":"D Clarke","year":"2014","unstructured":"Clarke, D., et al.: FuPerMod: a software tool for the optimization of data-parallel applications on heterogeneous platforms. J. Supercomput. 69, 61\u201369 (2014)","journal-title":"J. Supercomput."},{"key":"33_CR10","first-page":"6","volume":"2","author":"G Da Costa","year":"2015","unstructured":"Da Costa, G., et al.: Exascale machines require new programming paradigms and runtimes. Supercomput. Front. Innov. 2, 6\u201327 (2015)","journal-title":"Supercomput. Front. Innov."},{"key":"33_CR11","doi-asserted-by":"crossref","unstructured":"Devine, K., et al.: Design of dynamic load-balancing tools for parallel applications. In: Proceedings of the 14th International Conference on Supercomputing - ICS 2000 (2000)","DOI":"10.1145\/335231.335242"},{"key":"33_CR12","unstructured":"Faik, J., Teresco, J.D., Devine, K.D., Flaherty, J.E., Gervasio, L.G.: A model for resource-aware load balancing on heterogeneous clusters. CS-05-01. Williams College Department of Computer Science (2005)"},{"key":"33_CR13","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s11227-009-0350-1","volume":"58","author":"JA Mart\u00ednez","year":"2011","unstructured":"Mart\u00ednez, J.A., Garz\u00f3n, E.M., Plaza, A., Garc\u00eda, I.: Automatic tuning of iterative computation on heterogeneous multiprocessors with ADITHE. J. Supercomput. 58, 151\u2013159 (2011)","journal-title":"J. Supercomput."},{"key":"33_CR14","unstructured":"OpenFOAM Foundation: OpenFOAM Users\u2019 Guide. Technical report (2018)"},{"key":"33_CR15","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1006\/jpdc.1997.1410","volume":"47","author":"K Schloegel","year":"1997","unstructured":"Schloegel, K., Karypis, G., Kumar, V.: Multilevel diffusion schemes for repartitioning of adaptive meshes. J. Parallel Distrib. Comput. 47, 109\u2013124 (1997)","journal-title":"J. Parallel Distrib. Comput."},{"key":"33_CR16","unstructured":"Top500: TOP500 Supercomputer Site (2017)"},{"key":"33_CR17","unstructured":"Zhong, Z.: Optimization of data-parallel scientific applications on highly heterogeneous modern HPC platforms. Ph.D. thesis (2014)"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93698-7_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,11]],"date-time":"2022-06-11T00:06:50Z","timestamp":1654906010000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-93698-7_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319936970","9783319936987"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93698-7_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"12 June 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuxi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"406","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"148","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Acceptance rate in the Main Track is 28%. Acceptance rate in the workshops is 43%.  A high acceptance rate in the workshops is explained by the nature of these thematic sessions, where many experts in a particular field are personally invited by workshop organisers to participate in their sessions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}