<div dir="ltr">Dear Jianwei,<div><br></div><div>The VTK SMP infrastructure abstracts the backend so you don't have to worry about which backend to write for. See the PDF document reference in</div><div><br></div><div><a href="http://www.vtk.org/Wiki/VTK/VTK_SMP">http://www.vtk.org/Wiki/VTK/VTK_SMP</a><br></div><div><br></div><div>It is up to the students to make a decision on which filters they want to implement using this infrastructure. Once the proposals are in, we may come back and make some suggestions for other algorithms. Also, note that the project may include the VTK imaging pipeline as stating in "this will include modernization of the old multi-threading code in the imaging pipeline".</div><div><br></div><div>David: Is there a reference describing the VTK threaded image algorithm infrastructure or do we just point to the code?</div><div><br></div><div>Best,</div><div>-berk</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Mar 16, 2015 at 2:25 PM, jianwei li <span dir="ltr"><<a href="mailto:ljianweiyx@gmail.com" target="_blank">ljianweiyx@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div>Hi<br></div> I have read the paper 'VtkSMP: Task-based Parallel Operators for VTK Filters'.Based on the paper,kaapi is better than other two methods.So,do you want to use kaapi to implement some VTK filters.And,which processor want to be,such as the number of core.And do you only want to implement the filter listed in the paper.<br></div><div>Best regard<span class="HOEnZb"><font color="#888888"><br></font></span></div><span class="HOEnZb"><font color="#888888"><div> Jianwei<br></div></font></span></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><div class="gmail_quote">2015-03-17 1:48 GMT+08:00 Berk Geveci <span dir="ltr"><<a href="mailto:berk.geveci@kitware.com" target="_blank">berk.geveci@kitware.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear Jianwei,<div><br></div><div>Please take a look at these references:</div><div><br></div><div><div>* <a href="http://www.vtk.org/Wiki/VTK/VTK_SMP" target="_blank">http://www.vtk.org/Wiki/VTK/VTK_SMP</a></div><div>* <a href="https://hal.inria.fr/hal-00789814/document" target="_blank">https://hal.inria.fr/hal-00789814/document</a></div><div>* <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.396.4673&rep=rep1&type=pdf" target="_blank">http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.396.4673&rep=rep1&type=pdf</a></div></div><div><br></div><div>This particular project refer to the CPU based SMP parallelism currently in VTK as explained in the references above. For reference, I included these in the topic page as well.</div><div><br></div><div>Best,</div><div>-berk</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div>On Mon, Mar 16, 2015 at 1:33 PM, jianwei li <span dir="ltr"><<a href="mailto:ljianweiyx@gmail.com" target="_blank">ljianweiyx@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div><div dir="ltr"><div><div><div><div><div>Hi <br></div> I'm a graduate student in NorthWestern Polytenical University.I have been study Parelism promraming,especially GPU programming for two year.So I want to accept task Shared Memory Paralism in VTK.<br></div> But now,I don't know if you want implement the parallelism on GPU or CPU,and do you hace some other demand,such as efficiency,coefficeent of utilization of processor.<br></div> Watting for your answer!<br></div> Than you!<br></div>Best Regard<br><br></div>
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