<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><font class="Apple-style-span" face="Arial">Hey,</font><div><font class="Apple-style-span" face="Arial"><br></font></div><div><font class="Apple-style-span" face="Arial">From the previous posts on the list I got the feeling that gtx are fine enough for gromacs calculations and 4 times more expensive teslas are actually not necessary. However the hardware providers discourage us from using gtx in a small cluster. The number of reasons is listed on the website <a href="http://www.fluidyna.de/en/tesla_geforce">http://www.fluidyna.de/en/tesla_geforce</a> . For the future versions of parallel gromacs are the listed points ( in particular faster data transfers to/from CPU, faster GPU-GPU communication and less memory errors on teslas) relevant ? </font></div><div><font class="Apple-style-span" face="Arial"><br></font></div><div><font class="Apple-style-span" face="Arial">Thank you for comments</font></div><div><font class="Apple-style-span" face="Arial"><br></font></div><div><font class="Apple-style-span" face="Arial">Andrzej</font></div><div><br></div><div><br></div></body></html>