Large Scale Visualization with...
Transcript of Large Scale Visualization with...
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Large Scale Visualization with ParaView
ATPESC 2020
Dan Lipsa, Staff R&D Engineer,
Kitware, Inc.
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Outline
•Kitware
•Introduction
•Basic Usage
•Visualizing Large Models
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Kitware
•Open-source, software R&D company
•Five core areas of expertise
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Kitware – Computer Vision
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Kitware – Data and Analytics
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Kitware – HPC and Visualization
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Kitware – Medical Computing
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Kitware – Software Process
•cmake, ctest, cdash
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To Follow Along…
•Install ParaView 5.8.0
–http://www.paraview.org → Download
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Introduction
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What is ParaView?
•An open-source (BSD 3 Clause License), scalable, multi-platform visualization application.
•Support for distributed computation models to process large data sets.
•An open, flexible, and intuitive user interface.
•An extensible, modular architecture based on open standards.
•Commercial maintenance and support.
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ParaView on the Desktop
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ParaView on the Web
Visualizer, Glance.
https://blog.kitware.com/vis-on-the-web/
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Python scripts can control ParaView, with or without the GUI, in order to create reproducible and customizable visualizations.
ParaView Scripting - Python
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ParaView Immersive
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ParaView for HPC
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Community Atmosphere Model (CAM5) 2D (PS) 3D data (T), Spectral Element dynamic module.
ParaView Catalyst
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Visualization of 3D LIDAR data.
ParaView Custom Application
VeloView
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Current ParaView Usage
•Used by academic, government, and
commercial institutions worldwide.
•Downloaded ~135K times per year.
•HPCwire Editors’ Choice 2010/2016
and HPCwire Readers’ Choice
2010/2012/2015 Awards for Best
Visualization Product or Technology.
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Data Ranges
•Used for all ranges of data size.
•Landmarks of usage:
–6 billion structured cells (2005).
–Billions of AMR cells (2008).
–6.33 billion unstructured cells in Catalyst
(2016).
–Scaling test over 1 Trillion cells (2010).
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ParaView Development
• Started in 2000 as collaborative effort between Los
Alamos National Laboratories and Kitware Inc.
Sandia has been a major contributor since 2005.
– ParaView 0.6 released October 2002.
• Paraview 3.0 release in May 2007.
– GUI rewritten to be more user friendly and powerful.
• ParaView 4.0 released in June 2013.
– Properties panel redesign for smoother interaction.
• ParaView 5.0 released in January 2016.
– Updated to OpenGL 3.2 features. Huge performance
improvements.
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Basics of Visualization
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Data Types
Uniform Rectilinear
(vtkImageData)
Non-Uniform Rectilinear
(vtkRectilinearData)
Curvilinear
(vtkStructuredData)
Polygonal
(vtkPolyData)
Unstructured Grid
(vtkUnstructuredGrid)
• Multi-block
• Hierarchical
Adaptive Mesh
Refinement (AMR)
• Hierarchical
Uniform AMR
• Octree
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More Information
•Help Menu
•The ParaView web page– www.paraview.org
•Tutorials– http://www.paraview.org/tutorials/
•The ParaView Guide– http://www.paraview.org/paraview-guide/
•ParaView discussion forum
– https://discourse.paraview.org/
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Help Menu
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Basic Usage
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User InterfaceMenu Bar
Toolbars
Pipeline Browser
Properties Panel
Information Panel
3D View
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Getting Back GUI Components
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Creating a Cylinder Source
1. Go to the Sources menu and select
Cylinder.
2. Click the Apply button to accept the
default parameters.
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Simple Camera Manipulation
•Drag left, middle, right buttons for
rotate, pan, zoom.
–Also use Shift, Ctrl, Alt modifiers.
–Also try holding down x, y, or z.
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Creating a Cylinder Source
1. Go to the Source menu and select
Cylinder.
2. Click the Apply button to accept the
default parameters.
3. Increase the Resolution parameter.
4. Click the button again.
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Pipeline Object Controls
Pipeline objects
Sources
Filters
Readers
Writers
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Copy/Paste/Reset/Save Properties
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Display Properties
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Change Display Properties
1. Scroll down to the Display group.
2. Click the Edit button. (This button
is replicated in the toolbar.)
3. Select a new color for the cylinder.
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View Properties
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Change View Properties
1. Scroll down to the Display group.
2. Click the Edit button. (This button
is replicated in the toolbar.)
3. Select a new color for the cylinder.
4. Scroll down to the View group.
5. Turn on the Axis Grid.
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Advanced Properties
Toggle
Advanced
Properties
Search
Properties
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Searching Properties
1. Type “specular” in the properties
search box
2. Change Specular value to 1 (makes
the cylinder shiny)
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Searching Properties
1. Type “specular” in the properties
search box
2. Change Specular value to 1 (makes
the cylinder shiny)
Other interesting properties:
• Axes Grid
• Opacity
• Lights
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Using Auto Apply
1. Click Auto Apply.
2. Change the Resolution parameter
again.
3. Note that the visualization
automatically updates without having
to hit Apply.
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Changing the Color Palette
1. Make sure the orientation axes are
visible in the lower left corner.
2. Click the color palette button and
change the colors.
3. Try several color palettes.
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Color Palettes
→ Edit Current Palette…
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Undo Redo
RedoUndo
Camera
Redo
Camera
Undo
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Supported Data Types• ParaView Data (.pvd)
• VTK (.vtp, .vtu, .vti, .vts, .vtr)
• VTK Legacy (.vtk)
• VTK Multi Block
(.vtm,.vtmb,.vtmg,.vthd,.vthb)
• Partitioned VTK (.pvtu, .pvti,
.pvts, .pvtr)
• ADAPT (.nc, .cdf, .elev, .ncd)
• ANALYZE (.img, .hdr)
• ANSYS (.inp)
• AVS UCD (.inp)
• BOV (.bov)
• BYU (.g)
• CAM NetCDF (.nc, .ncdf)
• CCSM MTSD (.nc, .cdf, .elev,
.ncd)
• CCSM STSD (.nc, .cdf, .elev,
.ncd)
• CEAucd (.ucd, .inp)
• CGNS (.cgns)
• CMAT (.cmat)
• CML (.cml)
• CTRL (.ctrl)
• Chombo (.hdf5, .h5)
• Claw (.claw)
• Comma Separated Values
(.csv)
• Cosmology Files (.cosmo,
.gadget2)
• Curve2D (.curve, .ultra, .ult, .u)
• DDCMD (.ddcmd)
• Digital Elevation Map (.dem)
• Dyna3D(.dyn)
• EnSight (.case, .sos)
• Enzo boundary and hierarchy
• ExodusII (.g, .e, .exe, .ex2,
.ex2v.., etc)
• ExtrudedVol (.exvol)
• FVCOM (MTMD, MTSD,
Particle, STSD)
• Facet Polygonal Data
• Flash multiblock files
• Fluent Case Files (.cas)
• GGCM (.3df, .mer)
• GTC (.h5)
• GULP (.trg)
• Gadget (.gadget)
• Gaussian Cube File (.cube)
• JPEG Image (.jpg, .jpeg)
• LAMPPS Dump (.dump)
• LAMPPS Structure Files
• LODI (.nc, .cdf, .elev, .ncd)
• LODI Particle (.nc, .cdf, .elev,
.ncd)
• LS-DYNA (.k, .lsdyna, .d3plot,
d3plot)
• M3DCl (.h5)
• MFIX Unstructred Grid (.RES)
• MM5 (.mm5)
• MPAS NetCDF (.nc, .ncdf)
• Meta Image (.mhd, .mha)
• Miranda (.mir, .raw)
• Multilevel 3d Plasma (.m3d,
.h5)
• NASTRAN (.nas, .f06)
• Nek5000 Files
• Nrrd Raw Image (.nrrd, .nhdr)
• OpenFOAM Files (.foam)
• PATRAN (.neu)
• PFLOTRAN (.h5)
• PLOT2D (.p2d)
• PLOT3D (.xyz, .q, .x, .vp3d)
• PLY Polygonal File Format
• PNG Image Files
• POP Ocean Files
• ParaDIS Files
• Phasta Files (.pht)
• Pixie Files (.h5)
• ProSTAR (.cel, .vrt)
• Protein Data Bank (.pdb, .ent,
.pdb)
• Raw Image Files
• Raw NRRD image files (.nrrd)
• SAMRAI (.samrai)
• SAR (.SAR, .sar)
• SAS (.sasgeom, .sas,
.sasdata)
• SESAME Tables
• SLAC netCDF mesh and mode
data
• SLAC netCDF particle data
• Silo (.silo, .pdb)
• Spheral (.spheral, .sv)
• SpyPlot CTH
• SpyPlot (.case)
• SpyPlot History (.hscth)
• Stereo Lithography (.stl)
• TFT Files
• TIFF Image Files
• TSurf Files
• Tecplot ASCII (.tec, .tp)
• Tecplot Binary (.plt)
• Tetrad (.hdf5, .h5)
• UNIC (.h5)
• VASP CHGCA (.CHG)
• VASP OUT (.OUT)
• VASP POSTCAR (.POS)
• VPIC (.vpc)
• VRML (.wrl)
• Velodyne (.vld, .rst)
• VizSchema (.h5, .vsh5)
• Wavefront Polygonal Data
(.obj)
• WindBlade (.wind)
• XDMF and hdf5 (.xmf, .xdmf)
• XMol Molecule
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Custom Data Import:
Prototype with Python
•A “programmable
source” lets you
program data
readers right in the
GUI.
•Uses wrappings for
the basic VTK
classes.
•Good for prototyping
readers.https://www.vtk.org/doc/nightly/html/
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Custom Data Import:
Plugin Containing a Reader
•Plugins: shared object libraries that can
be dynamically loaded into ParaView.
•C++ code and XML description of the
interface.
•Any VTK reader object can be added.
![Page 48: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/48.jpg)
Custom Data Import:
Python Reader/Filter Plugin
•Python code and python decorators
description of the interface (similar with
the XML description).
•PythonAlgorithmExamples.py
![Page 49: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/49.jpg)
Load disk_out_ref.ex2
1. Open the file disk_out_ref.ex2from the examples directory.
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Load disk_out_ref.ex2
1. Open the file disk_out_ref.ex2from the examples directory.
2. Load all data variables.
3. Click
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Data Representation
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Filters Menu
~200 filters
Status bar:
• Short description
• Reason why is grayed
![Page 53: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/53.jpg)
Calculator
Contour
Clip
Slice
Threshold
Extract Subset
Common Filters
Glyph
Stream Tracer
Warp (vector)
Group Datasets
Extract Level
![Page 54: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/54.jpg)
Quick Launch
•Used for searching
for filters by name
•Keyboard shortcut
– Ctrl-space for
Windows & Linux
– Alt-space for Mac
![Page 55: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/55.jpg)
Apply Contour
1. Select disk_out_ref.ex2 in the
pipeline browser.
2. Press the contour filter.
Specify the data you
apply the filter on
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Apply Contour
3. Change parameters to create an
isosurface at Temp = 400K.
Change to Temp
Change to 400
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Apply Contour
1. Select disk_out_ref.ex2 in the
pipeline browser.
2. Select the contour filter.
3. Change parameters to create an
isosurface at Temp = 400K.
4.
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Apply ExtractSurface
1. Select disk_out_ref.ex2 in the
pipeline browser.
2. From the quick launch, select
Extract Surface.
3.
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Apply ExtractSurface, Clip
1. Select disk_out_ref.ex2 in the
pipeline browser.
2. From the quick launch, select
Extract Surface.
3.
4. Select … Create a clip filter.
5. Uncheck Show Plane.
6.
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Pipeline Browser Structure
disk_out_ref.ex2
Contour1 ExtractSurface1
Clip1
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Pipeline Browser Structure
disk_out_ref.ex2
Contour1 ExtractSurface1
Clip1
Visible
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Pipeline Browser Structure
disk_out_ref.ex2
Contour1 ExtractSurface1
Clip1
Not Visible
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Multiview
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Multiview
1. Select disk_out_ref.ex2 in the
pipeline browser.
2. Add Clip filter.
3. Uncheck Show Plane.
4.
5. Color surface by Pres.
6. Hide Clip2
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Multiview
6. Split the view horizontally.
7. Make Clip2 visible.
8. Color surface by Temp.
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Multiview
6. Split the view horizontally.
7. Make Clip1 visible.
8. Color surface by Temp.
9. Right-click view, Link Camera…
10.Click other view.
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Multiview
6. Split the view horizontally.
7. Make Clip1 visible.
8. Color surface by Temp.
9. Right-click view, Link Camera…
10.Click other view.
11.Click and zoom in a bit.
![Page 68: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/68.jpg)
Modifying Views
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Modifying Views
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Reset ParaView
Edit → Reset Session
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Streamlines
1. Open disk_out_ref.ex2. Load all
variables.
2. Add Stream Tracer.
3. Change Seed Type to Point Source.
4. Uncheck Show Sphere.
5.
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Streamlines
1. Open disk_out_ref.ex2. Load all
variables.
2. Add Stream Tracer.
3. Change Seed Type to Point Source.
4. Uncheck Show Sphere.
5.
6. From the quick launch, select Tube
7.
![Page 73: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/73.jpg)
Getting Fancy
8. Select StreamTracer1.
9. Add Glyph filter.
10. Change Glyph Type to Cone.
11. Change Orientation Array and ScaleArray to V.
12. Change Vector Scale Mode to Scale ByMagnitude.
13. Click reset next to Scale Factor.
14.
15. Color by Temp.
![Page 74: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/74.jpg)
Reset ParaView
Edit → Reset Session
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Common Data Analysis Filters
Extract Selection
Plot Global Variables Over Time
Plot Over Line
Plot Selection Over Time
Probe Location
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Plotting
1. Open disk_out_ref.ex2. Load all
variables.
2. Clip, uncheck, ,
3. Select disk_out_ref.ex2.
4. Add Plot Over Line filter.
![Page 77: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/77.jpg)
3D Widgets
![Page 78: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/78.jpg)
Placing 3D Line Widget Endpoints
•Use the p key to place alternating points.
–Ctrl+p places at nearest mesh point.
•Use the 1 or 2 key to place the start or end
point.
–Ctrl+1 or Ctrl+2 places at mesh point.
•Drag the endpoints.
–Use x, y, or z key to constrain to axis.
•Use widgets in Properties panel
–E.g. Use Z Axis button and then edit points
to place from (0,0,0) to (0, 0, 10).
![Page 79: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/79.jpg)
Plotting
1. Open disk_out_ref.ex2. Load all
variables.
2. Clip, uncheck, ,
3. Select disk_out_ref.ex2.
4. Add Plot Over Line filter.
5. Once line is satisfactorily located,
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Interacting with Plots
•Left, middle, right buttons to pan, zoom.
•Mouse wheel to zoom.
•Reset view to plot ranges.
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Plots are Views
•Move them like Views.
•Save screenshots.
![Page 82: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/82.jpg)
Adjusting Plots
1. In Display section of properties
panel, turn off all variables except
Temp and Pres.
2. Select Pres in the Display options.
3. Change Chart Axis to
Bottom – Right.
4. Verify the relationship between
temperature and pressure.
![Page 83: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/83.jpg)
Histogram / Bar Chart
1. Select disk_out_ref.ex2.
2. Filters → Data Analysis →
Histogram
3. Change Input Array to Temp.
4.
![Page 84: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/84.jpg)
Histogram / Bar Chart
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Reset ParaView
Edit → Reset Session
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Volume Rendering
1. Open disk_out_ref.ex2. Load all
variables.
2. Change variable viewed to Temp.
3. Change representation to Volume.
4. In the Are you Sure dialog box, click
Yes.
![Page 87: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/87.jpg)
Volume Rendering +
Surface Geometry
1. Open disk_out_ref.ex2. Load all
variables.
2. Change variable viewed to Temp.
3. Change representation to Volume.
4. Add Stream Tracer.
5. Optional: Add Tubes and Glyphs.
![Page 88: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/88.jpg)
Transfer Function Editor
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Modify Transfer Function
1. Select disk_out_ref.ex2.
2. Click Edit Color Map .
3. Click Choose preset .
4. Select Black-Body Radiation.
Apply. Close.
5. Try adding and changing control
points.
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Reset ParaView
Edit → Reset Session
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Loading Data with Time
1. Open the file can.ex2.
2. Select all variables.
3.
4.
5.
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Animation Toolbar
FirstFrame
PreviousFrame Play
NextFrame
LastFrame
LoopAnimation Current Time Current Time Step
![Page 93: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/93.jpg)
Animation Pitfall
1. Go to first time step.
2. Color by EQPS variable.
3. Play (or skip to last time step ).
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Animation Pitfall
1. Go to first time step.
2. Color by EQPS variable.
3. Play (or skip to last time step ).
4. Fix with Rescale to Data Range.
![Page 95: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/95.jpg)
Data Range Workarounds
•Go to representative time and hit
•In Settings change On File Open to
Goto last timestep.
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Data Range Workarounds
•Set a custom range.
![Page 97: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/97.jpg)
Data Range Workarounds
•Rescale to range over all timesteps
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Query-Based Selection
1. Open can.ex2. All variables.
2. Go to last time step.
3. Edit → Find Data.
4. Top combo box: find Cells.
5. Next row: EQPS, is >=, and 1.5.
6. Click Run Selection Query.
![Page 99: Large Scale Visualization with ParaViewpress3.mcs.anl.gov/atpesc/files/2020/08/ATPESC-2020...–Billions of AMR cells (2008). –6.33 billion unstructured cells in Catalyst (2016).](https://reader034.fdocuments.us/reader034/viewer/2022050603/5faa5daa5350bd416429077b/html5/thumbnails/99.jpg)
Query-Based Selection
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Brush Selection
Surface Cell Selection
(shortcut: s)
Surface Point Selection
(shortcut: d)
Through Cell Selection
(shortcut: f)
Through Point Selection
(shortcut: g)
Select Cells (polygon)
Select Points (polygon)
Block Selection
(shortcut: b)
Interactively Select Cells
Interactively Select Points
Hover Point Query
Hover Cell Query
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Adding Labels
1. Go to the last time step.
2. Open Find Data.
3. Create query Global ID is min. Click
Run Selection Query.
4. In the Cell Labels chooser, select
EQPS.
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Adding Labels
1. Go to the last time step.
2. Open Find Data.
3. Create query Global ID is min. Click
Run Selection Query.
4. In the Cell Labels chooser, select
EQPS.
5. When you are done, turn off the
EQPS labels.
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Reset ParaView
Edit → Reset Session
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Python Scripting
•Tools > Start Trace
•Build visualization pipeline with UI
•Tools > End Trace
•Save Python script
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Visualizing Large Models
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Data Parallel Pipelines
•Duplicate pipelines run independently
on different partitions of data.
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Data Parallel Pipelines
•Many operations will work regardless.
–Example: Clipping.
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Data Parallel Pipelines
•Many operations will work regardless.
–Example: Clipping.
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Data Parallel Pipelines
•Many operations will work regardless.
–Example: Clipping.
•Will discuss those that don’t later
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Parallel Rendering
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Reader
Filter
Filter
Reader
Filter
Filter
MPIX/N GB X/N GB
N component Data Parallelism for X GByte
…
Render ServerRender ServerRender ServerRender Server
ClientData ServerData ServerData ServerData ServerData ServerData Server
Depth Composite
Control,
Display and Rendering
of Small Data
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ParaView’s Running Modes
Builtin aka Standalone aka Serial
all components within one process (client may be GUI or pvpython)paraview || pvpython
Combined Server
data processing and parallel rendering in MPI job of combined processes. control from TCP connected client.mpiexec -n x pvserver &; paraview
# or pvpython #+ Connect
Batch server is an MPI job which directly runs a python scriptmpiexec –n x pvbatch \
vis_script.py
DS RS Client
ClientDS RSDS RS
DS RS
DS RSDS RS
DS RS
DS = data serverRS = render server
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•File > Connect > Fetch Servers
Fetch Server Configuration
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Connect Unix/Mac
Mac Os: Install Xquartz
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Connect Windows
Windows: Install PuTTY
quotes are required
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Memory Inspector
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Advanced Data Parallel Pipelines
•Some operations will have problems.
–Example: External Faces
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Advanced Data Parallel Pipelines
•Ghost cells can solve most of these
problems.
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Advanced Data Parallel Pipelines
•Ghost cells can solve most of these
problems.
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Balanced Partitioning
+ Ghost Cells
•Automatic when reading structured
data.
•For unstructured data:
–Ghost Level Generator: creates ghost
cells (if data is partitioned on disk)
–D3: also creates a balanced partition.
Extract Surface
without ghost
cells
Extract Surface
after D3
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Thank you!
Questions?
Thank you!
Questions?