A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit <a rel="external noopener" href="http://sbac.lip6.fr/2014/session%2010/2-gpuPredict.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Predicting GPU Performance from CPU Runs Using Machine Learning
<span title="">2014</span>
<i title="IEEE">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fdx47zt2hbb7ph2yhsec3zdkme" style="color: black;">2014 IEEE 26th International Symposium on Computer Architecture and High Performance Computing</a>
</i>
Preserved Fulltext
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809093548/http://sbac.lip6.fr/2014/session%2010/2-gpuPredict.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/18/f5/18f50d3b34f88e5a2ebd41647004d9af665a6a51.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/sbac-pad.2014.30">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
ieee.com
</button>
</a>