# How do you interpolate a large point cloud on parallel server

**URL:** https://discourse.paraview.org/t/how-do-you-interpolate-a-large-point-cloud-on-parallel-server/15243
**Category:** ParaView Support
**Created:** [August 16, 2024, 4:33pm UTC](https://discourse.paraview.org/t/how-do-you-interpolate-a-large-point-cloud-on-parallel-server/15243 "2024-08-16T16:33:57Z")
**Posts on this page:** 5
**Page:** 1

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### Author: ![Kenneth\_Moreland](https://discourse.paraview.org/user_avatar/discourse.paraview.org/kenneth_moreland/32/15033_2.png) [@Kenneth\_Moreland](https://discourse.paraview.org/u/Kenneth_Moreland)
#### Post date: [August 16, 2024, 4:33pm UTC](https://discourse.paraview.org/t/how-do-you-interpolate-a-large-point-cloud-on-parallel-server/15243/1 "2024-08-16T16:33:57Z")

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Is there a reliable way to interpolate a large point cloud volume when running on a parallel MPI server?

Usually to interpolate a point cloud, I use `Point Volume Interpolator`. It works well in serial, but it is greyed-out when running on a parallel server. Checking the servermanager xml, it looks like the proxy has `multiprocess_support="single_process"` set. So, that doesn’t work.

`Gaussian Resampling` is a fallback. It technically runs, but the result is pretty unusable. There are a lot of artifacts because it does not manage boundaries. It also throws warnings and volume renders wrong. I think this is because the filter is not respecting extent requests.

 ![Screenshot 2024-08-16 at 12.15.19 PM](https://discourse.paraview.org/uploads/default/original/2X/b/b9c0cb28a3f600262a4647c85ecfbd9798f22a49.jpeg)

I guess `Delaunay 3D` is a fallback. It works OK on smaller data, but it is known to be really problematic for larger data. It also introduces its own artifacts because it does not respect processor boundaries.

Is there a 4th option that I am missing?

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### Author: ![mwestphal](https://discourse.paraview.org/user_avatar/discourse.paraview.org/mwestphal/32/17_2.png) [@mwestphal](https://discourse.paraview.org/u/mwestphal)
#### Post date: [August 19, 2024, 8:33am UTC](https://discourse.paraview.org/t/how-do-you-interpolate-a-large-point-cloud-on-parallel-server/15243/2 "2024-08-19T08:33:52Z")

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Hi @Kenneth_Moreland

What about RessampleToImage or RessampleWithDataSet ?

Best,

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### Author: ![Kenneth\_Moreland](https://discourse.paraview.org/user_avatar/discourse.paraview.org/kenneth_moreland/32/15033_2.png) [@Kenneth\_Moreland](https://discourse.paraview.org/u/Kenneth_Moreland)
#### Post date: [August 19, 2024, 12:38pm UTC](https://discourse.paraview.org/t/how-do-you-interpolate-a-large-point-cloud-on-parallel-server/15243/3 "2024-08-19T12:38:22Z")

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Neither `Resample To Image` nor `Resample With DataSet` will work with a point cloud because the input only has vertex cells. Thus, the probing never actually lands inside a cell. See, for example:

[https://gitlab.kitware.com/paraview/paraview/-/issues/17185](https://gitlab.kitware.com/paraview/paraview/-/issues/17185)

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### Author: ![mwestphal](https://discourse.paraview.org/user_avatar/discourse.paraview.org/mwestphal/32/17_2.png) [@mwestphal](https://discourse.paraview.org/u/mwestphal)
#### Post date: [August 19, 2024, 12:38pm UTC](https://discourse.paraview.org/t/how-do-you-interpolate-a-large-point-cloud-on-parallel-server/15243/4 "2024-08-19T12:38:59Z")

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Indeed! Thanks for the clarification. I agree that this a missing feature.

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### Author: ![Kenneth\_Moreland](https://discourse.paraview.org/user_avatar/discourse.paraview.org/kenneth_moreland/32/15033_2.png) [@Kenneth\_Moreland](https://discourse.paraview.org/u/Kenneth_Moreland)
#### Post date: [August 19, 2024, 1:35pm UTC](https://discourse.paraview.org/t/how-do-you-interpolate-a-large-point-cloud-on-parallel-server/15243/5 "2024-08-19T13:35:11Z")

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OK. I opened a feature request: [Point Volume Interpolator should work in parallel](https://discourse.paraview.org/t/point-volume-interpolator-should-work-in-parallel/15252)
