https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Totounferoush_et_al_2021aTotounferoush et al 2021a - Revision history2026-04-25T12:29:11ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Totounferoush_et_al_2021a&diff=219748&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 743800928 to Totounferoush et al 2021a2021-03-11T16:34:03Z<p>Scipediacontent moved page <a href="/public/Draft_Content_743800928" class="mw-redirect" title="Draft Content 743800928">Draft Content 743800928</a> to <a href="/public/Totounferoush_et_al_2021a" title="Totounferoush et al 2021a">Totounferoush et al 2021a</a></p>
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<td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 16:34, 11 March 2021</td>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Totounferoush_et_al_2021a&diff=219747&oldid=prevScipediacontent: Created page with "== Abstract == We present a GPU-accelerated solver for the partitioned solution of fluid-structure interaction (FSI) problems. Independent scalable fluid and structure solver..."2021-03-11T16:34:00Z<p>Created page with "== Abstract == We present a GPU-accelerated solver for the partitioned solution of fluid-structure interaction (FSI) problems. Independent scalable fluid and structure solver..."</p>
<p><b>New page</b></p><div>== Abstract ==<br />
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We present a GPU-accelerated solver for the partitioned solution of fluid-structure interaction (FSI) problems. Independent scalable fluid and structure solvers are coupled by a library which handles the inter-code data communication, mapping and equation coupling. A coupling strategy is incorporated which allows accelerating expensive components of the coupled framework by offloading them to GPUs. To prove the efficiency of the proposed coupling strategy in conjunction with the offloading scheme, we present a numerical performance analysis for a complex test case in the filed of biomedical engineering. The numerical experiments demonstrate an excellent speed-up in the accelerated kernels (up to 133 times) which results in 6 to 8 times faster overall simulations. In addition, we observed a very good reduction in total simulation time by increasing the exploited compute nodes up to 8 (complete machine capacity).<br />
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== Full document ==<br />
<pdf>Media:Draft_Content_743800928p4958.pdf</pdf></div>Scipediacontent