Visualization

ParaView, wherethe results already are

A 200 GB result should not have to move to be seen.Render it on the machine that wrote it, and watch in a tab.

ParaView 5.13.24 cores · 8 GBOpens in a browser tab

hub://paraview

$ dxflow workflow create --identity paraview hub://paraview

$ dxflow workflow start paraview --link

01Pick a machinecores, memory and a rate per hour

02Create the workflowpulled from the hub, once

03Run it, then stopstopped when the work is done

The application

Every filter,nothing to install

The MPI build with Python 3.10, and every filter that ships with it.

Pipeline browser

Chain a reader, a filter and a view. Point that chain at your next case and it all runs again.

Slice, clip and probe

Cut a plane through the volume, throw half of it away, and read the value at any single point.

Volume rendering

Iso-surfaces, transfer functions and ray tracing over 3D fields, coloured however you want it.

Time series

Step through the timesteps, set a camera path, and write it out as frames or a finished movie.

Python 3.10

Trace what you clicked, then replay that script headless with pvpython across a hundred cases.

Any dataset

Structured and unstructured meshes, point clouds, polygonal data and volumes, in one pipeline.

The session

A Linux desktop streamed to your browser, with ParaView already maximized.

6082Browserin the tab, at /vnc.html

5901VNCin a native client

/volumeStorageyour work, kept between runs

Open it from anywhereStart with --link and the session comes back on an HTTPS address.

Set a password firstVNC_PASSWORD defaults to dxflow, and everyone can read this page.

Run ParaView on your own machinePick a machine that meets it, and it opens about a minute after you ask.