<div dir="ltr"><div>Dear Yasser,<br><br></div>Thank you so much for your quick response.<br></div><div class="gmail_extra"><br clear="all"><div><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><span style="color:rgb(0,0,0)"><span style="background-color:rgb(255,255,255)"><span style="font-size:12.8px">Regards,<br></span></span></span></div><div><span style="color:rgb(0,0,0)"><span style="background-color:rgb(255,255,255)"><span style="font-size:12.8px">Ashkan</span><i style="font-size:12.8px"><br><br></i></span></span></div><div><font size="2"><b><span style="color:rgb(0,0,0)"><span style="background-color:rgb(255,255,255)">Ashkan Shekaari</span></span></b></font></div><div><span style="color:rgb(0,0,0)"><span style="background-color:rgb(255,255,255)">Plasma Physics Research Center</span></span></div><div><span style="color:rgb(0,0,0)"><span style="background-color:rgb(255,255,255)"><span style="font-size:12.8px"><span style="font-size:12.8px">Science and Research Branch</span></span></span></span></div><div><span style="color:rgb(0,0,0)"><span style="background-color:rgb(255,255,255)">I A U, <span style="font-size:12.8px">14778-93855 Tehran, Iran.</span></span></span></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
<br><div class="gmail_quote">On Thu, Jul 13, 2017 at 4:18 PM, Yasser Fowad AlWahedi <span dir="ltr"><<a href="mailto:yaalwahedi@pi.ac.ae" target="_blank">yaalwahedi@pi.ac.ae</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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Dear Ashkan<br>
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The current version of QE-GPU (5.4) should support Fermi till Kepler architectures. The card should have decent double precision performance. Examples are Tesla series K20, K20x, K40 and K80 all have good double precision performance.
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If you are purchasing for a workstation, then buy a GPU having a fan/blower based cooling solution. Stay away from passively cooled cards (e.g. Tesla K80).
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If you have limited budget then kepler based Titan , Titan Z and Titan black should have decent double precision performance but at lower costs.<br>
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Yasser Al Wahedi <br>
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Assistant Professor <br>
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Khalifa University of Science and Technology <br>
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Get <a href="https://aka.ms/ghei36" target="_blank">Outlook for Android</a></div>
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From: ashkan shekaari<br>
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Sent: Friday, 14 July, 00:01<br>
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Subject: [Pw_forum] GPU<br>
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To: pw_forum<br>
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Dear experts,<br>
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Does anyone know what type of nvidia graphic cards is suitable for calculating with quda_enabled quantum espresso?<br>
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I mean what are the minimum specifications a given cuda-supported graphic card must have to be suitable for computing with quantum espresso?<br>
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Regards,<br>
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Ashkan<br>
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<b>Ashkan</b><b> </b><b>Shekaari</b><br>
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Plasma Physics Research Center<br>
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Science and Research Branch<br>
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I A U, 14778-93855 Tehran, Iran.<br>
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