https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Espinoza_et_al_2009aEspinoza et al 2009a - Revision history2026-04-18T20:24:12ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Espinoza_et_al_2009a&diff=56331&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 422553288 to Espinoza et al 2009a2017-06-14T11:14:00Z<p>Scipediacontent moved page <a href="/public/Draft_Content_422553288" class="mw-redirect" title="Draft Content 422553288">Draft Content 422553288</a> to <a href="/public/Espinoza_et_al_2009a" title="Espinoza et al 2009a">Espinoza et al 2009a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Espinoza_et_al_2009a&diff=56292&oldid=prevScipediacontent: Created page with "== Abstract == In this paper the optimization of the program "Processor" is presented. The "processor" is a finite element program used by the tool "Portal of Damage" (http:/..."2017-06-14T11:07:15Z<p>Created page with "== Abstract == In this paper the optimization of the program "Processor" is presented. The "processor" is a finite element program used by the tool "Portal of Damage" (http:/..."</p>
<p><b>New page</b></p><div>== Abstract ==<br />
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In this paper the optimization of the program "Processor" is presented. The "processor" is a finite element program used by the tool "Portal of Damage" (http://portaldeporticos.ula.ve), coded in Fortran-90, and based in the lumped damage mechanics. This program allows the simulation and modelling of the inelastic behaviour and damage in reinforced concrete structures under static or dynamic loads. To decrease the computing time of the structure analysis, the library UCSparceLib (University of Carabobo Sparse) was included, and to make even more efficient, to improve the performance of the Processor is implemented a queue manager in the cluster where the Portal is lodged. The queue manager is designed under discrete events simulation paradigm. The experimental results show a reduction in the computing time of more than 80% for the examples. Finally, an implementation using OpenMP is done in a shared memory computer.<br />
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== Full document ==<br />
<pdf>Media:draft_Content_422553288RR254B.pdf</pdf></div>Scipediacontent