https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Isotton_et_al_2021aIsotton et al 2021a - Revision history2026-05-07T00:47:38ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Isotton_et_al_2021a&diff=218888&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 853107760 to Isotton et al 2021a2021-03-11T15:42:10Z<p>Scipediacontent moved page <a href="/public/Draft_Content_853107760" class="mw-redirect" title="Draft Content 853107760">Draft Content 853107760</a> to <a href="/public/Isotton_et_al_2021a" title="Isotton et al 2021a">Isotton et al 2021a</a></p>
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<td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 15:42, 11 March 2021</td>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Isotton_et_al_2021a&diff=218887&oldid=prevScipediacontent: Created page with "== Abstract == The numerical simulation of modern engineering problems via finite elements requires the solution of sparse linear systems of millions or even billions of unkn..."2021-03-11T15:42:07Z<p>Created page with "== Abstract == The numerical simulation of modern engineering problems via finite elements requires the solution of sparse linear systems of millions or even billions of unkn..."</p>
<p><b>New page</b></p><div>== Abstract ==<br />
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The numerical simulation of modern engineering problems via finite elements requires the solution of sparse linear systems of millions or even billions of unknowns. The algebraic multigrid (AMG) methods are the most common choice as linear solvers because of their fast convergence even for large-size problems. In this communication, we propose Chronos, a massively parallel implementation of a novel AMG framework, specifically designed to address complex problems by adapting its components, from the smoother, to the coarse grid correction and prolongation to the problem at hand. This work demonstrates not only the numerical performance of the proposed library, but also its robustness and adaptability to very challenging matrices, arising from different fields of application.<br />
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== Full document ==<br />
<pdf>Media:Draft_Content_853107760p962.pdf</pdf></div>Scipediacontent