GPU
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enHigh Performance Building Simulation on Heterogeneous Platforms
/lab/sbs/UM-building-simulation-heterogeneous-platforms
<span>High Performance Building Simulation on Heterogeneous Platforms</span>
<span><span>Anonymous (not verified)</span></span>
<span><time datetime="2015-02-01T00:00:00-07:00" title="Sunday, February 1, 2015 - 00:00">Sun, 02/01/2015 - 00:00</time>
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<a href="/lab/sbs/taxonomy/term/241" hreflang="en">Advanced Modeling Techniques</a>
<a href="/lab/sbs/taxonomy/term/78" hreflang="en">FFD</a>
<a href="/lab/sbs/taxonomy/term/88" hreflang="en">GPU</a>
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<p>Powerful computational capabilities have always been sought after by those working in fields that require vast amount of calculations to be done in a relatively short amount of time and a low cost. To meet this needs, we are conducting research in performing high performance building simulation using multi-core CPU and GPU (graphics processing units). By optimizing the numerical algorithm and using the multi-core CPU and GPU, we have successfully accelerated the indoor airflow simulation up to 1,500 times and daylighting simulation up to 12,000 times.</p>
<h2>Collaborators</h2>
<p> <a href="https://www.lbl.gov/" rel="nofollow">Lawrence Berkeley National Laboratory</a></p>
<h2>Press Release</h2>
<p><a href="http://www.coe.miami.edu/simulating-dense-gas-transport/" rel="nofollow">UM College of Engineering News "SBS lab's Research: Simulating Dense Gas Transport"</a></p>
<h2><strong>Publications</strong></h2>
<p>W. Tian, T. A. Sevilla, W. Zuo 2017. 鈥�<a href="/lab/sbs/node/192/attachment" rel="nofollow">A Systematic Evaluation of Accelerating Indoor Airflow Simulations Using Cross Platform Parallel Computing</a>.鈥� Journal of Building Performance Simulation, 10(3), pp. 243-255.</p></div>
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Sun, 01 Feb 2015 07:00:00 +0000Anonymous116 at /lab/sbs