How to present results if a grid is large?

Mich · April 25, 2009, 23:05

Hello, I can (using 1000 processors) solve the Navier-Stokes on a grid 1000x1000x1000 and more. But what to do then? How to draw any pictures having 4 billion numbers (u, v, w, p) for reports? Thanks.

vishyaroon · April 27, 2009, 14:32

If you want to represent flow variables like u,v,w,p, which do not have high gradients, can you interpolate the results on a coarser grid. Depending on what you are using for post-processing you may find options for this. I know packages like Tecplot have a option to interpolate the results on another 2D/3D grid.

praveen · April 27, 2009, 23:43

Use a parallel visualization tool like paraview or visit.

jed · April 28, 2009, 07:27

For really large data sets, VisIt has the edge on scalability. There have been a few groups now using it to visualize DNS with 4096^3 nodes (that's 1 TB per time-step, in single precision on a rectilinear grid).

April 25, 2009, 23:05	How to present results if a grid is large?	#1
Mich New Member lpk Join Date: Apr 2009 Posts: 2 Rep Power: 0	Hello, I can (using 1000 processors) solve the Navier-Stokes on a grid 1000x1000x1000 and more. But what to do then? How to draw any pictures having 4 billion numbers (u, v, w, p) for reports? Thanks.

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April 27, 2009, 14:32		#2
vishyaroon Senior Member Aroon Join Date: Apr 2009 Location: Racine WI Posts: 148 Rep Power: 17	If you want to represent flow variables like u,v,w,p, which do not have high gradients, can you interpolate the results on a coarser grid. Depending on what you are using for post-processing you may find options for this. I know packages like Tecplot have a option to interpolate the results on another 2D/3D grid.

April 27, 2009, 23:43		#3
praveen Super Moderator Praveen. C Join Date: Mar 2009 Location: Bangalore Posts: 343 Blog Entries: 6 Rep Power: 18	Use a parallel visualization tool like paraview or visit.

April 28, 2009, 07:27		#4
jed Member Jed Brown Join Date: Mar 2009 Posts: 56 Rep Power: 19	For really large data sets, VisIt has the edge on scalability. There have been a few groups now using it to visualize DNS with 4096^3 nodes (that's 1 TB per time-step, in single precision on a rectilinear grid).