{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T01:57:18Z","timestamp":1772243838616,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>In this paper, we report on our recent efforts towards adapting a Discontinuous Galerkin Time-Domain solver for computational bioelectromagnetics to the novel, heterogeneous architecture proposed in the DEEP-ER european project on exascale computing. This architecture is based on the Cluster\/Booster division concept which will be recalled. As a first step, we summarize the key features of the application and present the outcomes of a profiling of the code using the tools developed by DEEP-ER partners. We then go through the subsequent general improvements of the application as well as specific developments aimed at exploiting efficiently the DEEP-ER platform. This particularly includes porting the application to the Intel&amp;reg;Many Integrated Core Architecture. We conclude with an outlook on next steps, including the different Cluster\/Booster division strategies.<\/jats:p>","DOI":"10.3233\/978-1-61499-621-7-349","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T10:30:51Z","timestamp":1739961051000},"source":"Crossref","is-referenced-by-count":0,"title":["Adapting a Finite-Element Type Solver for Bioelectromagnetics to the DEEP-ER Platform"],"prefix":"10.3233","author":[{"family":"L&eacute;ger Rapha&euml;l","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Mall&oacute;n Damian A.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Duran Alejandro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Lanteri St&eacute;phane","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Advances in Parallel Computing","Parallel Computing: On the Road to Exascale"],"original-title":[],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T10:49:17Z","timestamp":1739962157000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-620-0&spage=349&doi=10.3233\/978-1-61499-621-7-349"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-621-7-349","relation":{"is-cited-by":[{"id-type":"doi","id":"10.1109\/HPCC\/SmartCity\/DSS.2018.00046","asserted-by":"object"}]},"ISSN":["0927-5452"],"issn-type":[{"value":"0927-5452","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}