<div dir="ltr">Thanks guys,<div><br></div><div>so I already have a pipeline working on the cluster but our problem is that the priority rules for the jobs have been establish many years ago without taking into account the needs of image analyst (lot of ram for a short time) which lead to unexpected and unpleasant delays in the processing (wait 2 weeks for a 2h job is a bit excessive). Two solutions make a smarter pipeline or buy a big computer, I would rather go for option number two.</div><div><br></div><div>I the end I will push for a workstation more than a private node on the cluster because you can do the maintenance yourself and even thought we don't use GPU calculation at the moment it would be nice to keep this door open.</div><div><br></div><div>I will ask for a quote to HP for the configuration below if someone is interested. </div><div><br></div><div>Small question, linux kind of have a repulsive effect on brave biologist exploring biophysics, is there any downside to use windows 8.1 instead of linux ?</div><div><br></div><div>thanks</div><div><br></div><div>thomas</div><div><br></div><div><br></div><div><p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">OS </span></b><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">: Windows 8.1 Pro 64<span class=""> </span></span>or
Ubuntu Linux 64</p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">Processor :</span></b><span style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial"> Intel® Xeon® E5-2680 v3 (2.5 GHz, 30 MB cache,
12 cores, Intel® vPro™)</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">Graphic card :</span></b><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial"> NVIDIA® Quadro® K6000
(12 GB) High Performance GPU Computing: NVIDIA® Tesla® K40</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">RAM :</span></b><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial"> 128 GB DDR4-2133 ECC<span class=""> </span></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span class=""><b><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">Main storage :</span></b></span><span class=""><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial"> </span></span><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">1 TB SATA SSHD</span>11 (may be less)</p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">Storage :</span></b><span lang="EN-US" style="font-size:10pt;line-height:107%;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial"> mucho To at 7200 rpm or more</span><span lang="EN-US" style="font-size:10pt;line-height:107%"></span></p></div><div><br></div><div><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">2016-01-27 17:28 GMT+01:00 Ulrik Günther <span dir="ltr"><<a href="mailto:guenther@mpi-cbg.de" target="_blank">guenther@mpi-cbg.de</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><u></u>
<div>
<div>Hey Thomas,</div>
<div><br></div>
<div>in addition to Michael’s remarks, I’d like to add that the graphics cards in your listing are quite dated, but anyway still expensive — I found them for around 1000EUR online.</div>
<div><br></div>
<div>If you plan on running things like Multiview Deconvolution (<a href="http://fiji.sc/Multi-View_Deconvolution" target="_blank">http://fiji.sc/Multi-View_Deconvolution</a>) on the GPU, you’d probably be better off getting a more recent card, like a GeForce Titan X with 12 GB RAM, instead. That card also costs around 1000EUR.</div>
<div><br></div>
<div>The main difference (apart from the Titan X having a much more recent architecture) between the two is the double precision calculation speed: The consumer (read non-Quadro) cards are artificially capped at 1/8th of the single precision processing speed. For most image processing tasks however, double precision is not necessary, but more RAM on the GPU helps tremendously.</div>
<div><br></div>
<div>Hope that helped :)</div>
<div><br></div>
<div>cheers!</div>
<div><br></div>
<div>ulrik</div>
<div><br></div>
<div>
<div style="color:rgb(54,61,76)">—
</div>
<div style="color:rgb(54,61,76)">
<div>Ulrik Günther, Dipl.-Phys.<br>PhD Student<br>MOSAIC Group & Tomancak Lab, Center of Systems Biology Dresden</div>
<div><span class="">Max Planck Institute of Molecular Cell Biology and Genetics<br></span>Pfotenhauerstr. 108, D-01307 Dresden, Germany</div>
</div>
<div style="color:rgb(54,61,76)"><br></div>
<div style="color:rgb(54,61,76)">E-Mail: <a href="mailto:guenther@mpi-cbg.de" target="_blank">guenther@mpi-cbg.de</a><br>
</div>
</div>
<div><br></div>
<blockquote type="cite"><span class="">
<div>On Jan 26, 2016, at 6:04 PM, Thomas Pujol <<a href="mailto:thomas.pujol@crg.eu" target="_blank">thomas.pujol@crg.eu</a>> wrote:</div>
<div><br></div>
</span><div><div class="h5"><div dir="ltr" style="font-family:-webkit-standard">Hello dear light sheet enthousiaste.<div><br></div>
<div>An email to fish advices regarding computer configuration.</div>
<div><br></div>
<div>I convince my boss that we need a super duper computer to process the spim data that we are producing and I want to know if the configuration advice by the open spim website is up to date(description below) or if I should/could aim for even bigger machine. Online, I also found the HP Z840 that can accomodate a tremendous amount of ram, any recommandation?</div>
<div><br></div>
<div>We have to choose between buying a work station with massive a amount ram or our private node on the institute cluster, does anyone has advice or feedback on previous expererience ?</div>
<div>
<div><br></div>
<div>thank you and may the light sheet be with you</div>
</div>
<div><br></div>
<div>cheers</div>
<div><br></div>
<div>thomas pujol</div>
<div><br></div>
<div><pre style="font-size:12.6667px;font-family:'Courier New',monospace;border:1px dashed rgb(47,111,171);line-height:1.1em;padding:15px 20px;border-top-left-radius:6px;border-top-right-radius:6px;border-bottom-right-radius:6px;border-bottom-left-radius:6px;background-color:rgb(249,249,249)">Processor : <b>Two Intel Xeon Processor E5-2630</b> (<b>Six Core, 2.30GHz Turbo</b>, 15MB, 7.2 GT/s)
Memory : <b>128GB</b> (16x8GB) 1600MHz DDR3 ECC RDIMM
Hard Drive : <b>4x2TB</b> 3.5inch Serial ATA (7.200 Rpm) Hard Drive
HDD Controller : PERC H310 SATA/SAS Controller for Dell Precision
HDD Configuration : C1 SATA 3.5inch, 1-4 Hard Drives
Graphics : <b>Dual 2 GB NVIDIA Quadro 4000</b> (2cards w/ 2DP & 1DVI-I each) (2DP-DVI & 2DVI-VGA adapter) (MRGA17H)
Network : Intel X520-T2 Dual Port <b>10GbE Network Interface Card</b></pre></div>
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