It depends on how you want to do it. If you want to keep the data on the GPU memory and perform all of the analysis/visualization on the GPU, VTK is currently not the right tool. Almost all of VTK's filters work on the CPU whereas rendering happens on the GPU. If you are OK with moving data to main memory whenever you want to do analysis/vis, the in-situ vis work we are doing would be a fit for you. Let me know if you are interested and I can get you started.<br>
<br>-berk<br><br><div class="gmail_quote">On Wed, Feb 24, 2010 at 10:06 PM, liuning <span dir="ltr"><<a href="mailto:tantics@gmail.com">tantics@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
Hi all,<div><br></div><div>We attempt to do a in-situ visualization to visualize the simulation, which is mainly performed on GPUs. I noticed that there was a presentation in Vis09 describing how to do in-situ visualization with the help of Python scripts. Since the simulation data reside in GPUs, I wonder whether the approach mentioned above can do this. Or, are there some better methods to do that?</div>
<div><br></div><div>Thanks a lot.</div><div><br></div><div>-Ning</div><div><br></div><div> </div>
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