Sharmila :<br><br><div class="gmail_quote">On Mon, Jul 27, 2009 at 3:04 AM, Sharmila Subbiah <span dir="ltr"><<a href="mailto:sharmimohan@yahoo.com">sharmimohan@yahoo.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,<br>
<br>
We were using VTK for volume rendering and some image operations. Now we are moving towards CUDA for real-time image processing for an application with high performance constraints. We want to make use of both CUDA and VTK for processing. Regarding this, we have the following questions.<br>
1) How much of overhead does VTK add over OpenGL?</blockquote><div><br>There is a measurable overhead. VTK provides the advantage of a higher level abtraction with lots of flexibility and that trades off with some loss in performance. There are ways to minimize these. One would need specifics.<br>
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2) How much does VTK leverage the GPU capabilities? How about utilizing the large number of cores available on NVIDIA CUDA-enabled GPU?</blockquote><div><br>Please take a look at VTKEdge. ( <a href="http://vtkedge.org">vtkedge.org</a> )<br>
<br>As regards leveraging GPU capabilities, the library
provides GPU-based volumetric ray casting, GPU-accelerated filters for computing 2D <span class="il">LIC</span> on vtkImageData or vtkStructuredGrid, GPU versions of Feldkamp back projection, several GPU-accelerated image processing algorithms, and a couple of CUDA enabled VTK-classes, (such as FFT implementation using CUDA).<br>
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3) How much of interoperability do we have between VTK and CUDA? Can VTK and CUDA share the buffer objects on GPU, or will there be additional data transfers between GPU and CPU?<br>
<br>
Thanks,<br>
Sharmila<br>
<br>
<br>
<br>
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