https://docs.snic.se/w/index.php?action=history&feed=atom&title=MATLAB_using_SNIC_clusters_%28Lunarc_May_2014%29 2026-08-25T03:48:15Z Revision history for this page on the wiki MediaWiki 1.31.10 https://docs.snic.se/w/index.php?title=MATLAB_using_SNIC_clusters_(Lunarc_May_2014)&diff=5800&oldid=prev 2014-04-11T15:14:32Z

<p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 15:14, 11 April 2014</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{training event info</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{training event info</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|description=Speeding up MATLAB Computations using SNIC Clusters &#160;</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|description=Speeding up MATLAB Computations using SNIC Clusters &#160;</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|fields=<del class="diffchange diffchange-inline">High performance </del>computing</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|fields=<ins class="diffchange diffchange-inline">Scientific </ins>computing</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|event type=Seminar</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|event type=Seminar</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|location=Lund</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|location=Lund</div></td></tr> </table>

Joachim Hein (LUNARC) https://docs.snic.se/w/index.php?title=MATLAB_using_SNIC_clusters_(Lunarc_May_2014)&diff=5798&oldid=prev 2014-04-11T15:11:34Z

<p>Created page with &quot;{{training event info |description=Speeding up MATLAB Computations using SNIC Clusters |fields=High performance computing |event type=Seminar |location=Lund |start date=2014-05-...&quot;</p> <p><b>New page</b></p><div>{{training event info<br /> |description=Speeding up MATLAB Computations using SNIC Clusters <br /> |fields=High performance computing<br /> |event type=Seminar<br /> |location=Lund<br /> |start date=2014-05-06<br /> |end date=2014-05-06<br /> }}<br /> == Seminar overview ==<br /> Join us for this seminar to see how you can get access to the resources already available to you, and speed up your computations in [[MATLAB]] on your computer and on large clusters. The Swedish National Infrastructure for Computing (SNIC) allows researchers to apply for usage of MATLAB Distributed Computing Server (MDCS) on their clusters to speed up massive MATLAB computations at no cost. We will go through how to get access to these systems and how to write MATLAB code to run on them.<br /> <br /> == Trainer ==<br /> The seminar is delivered by Daniel Armyr, Application Engineer at MathWorks.<br /> <br /> == Seminar web page and registration ==<br /> For more information and registration refer to the <br /> [https://www.mathworks.se/company/events/seminars/seminar90583.html Mathworks webpage]</div>

Joachim Hein (LUNARC)