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=== ParaView === <!--T:2--> | === ParaView === <!--T:2--> | ||
[http://www.paraview.org ParaView] is a general-purpose 3D scientific visualization tool. It is open source and compiles on all popular platforms (Linux, Windows, Mac), understands a large number of input file formats, provides multiple rendering modes, supports Python scripting, and can scale up to tens of thousands of processors for rendering of very large datasets. | [http://www.paraview.org ParaView] is a general-purpose 3D scientific visualization tool. It is open-source and compiles on all popular platforms (Linux, Windows, Mac), understands a large number of input file formats, provides multiple rendering modes, supports Python scripting, and can scale up to tens of thousands of processors for rendering of very large datasets. | ||
* [http://www.paraview.org/documentation ParaView official documentation] | * [http://www.paraview.org/documentation ParaView official documentation] | ||
* [http://www.paraview.org/gallery ParaView gallery] | * [http://www.paraview.org/gallery ParaView gallery] | ||
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* [https://itk.org/Wiki/VTK/Tutorials VTK tutorials] | * [https://itk.org/Wiki/VTK/Tutorials VTK tutorials] | ||
= Visualization on new Compute Canada systems = <!--T:6--> | = Visualization on new the Compute Canada systems = <!--T:6--> | ||
== GPU-based client-server visualization on Cedar and Graham == <!--T:60--> | == GPU-based client-server visualization on Cedar and Graham == <!--T:60--> | ||
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Cedar and Graham have a number of interactive GPU nodes that can be used for remote ParaView client-server visualization. | Cedar and Graham have a number of interactive GPU nodes that can be used for remote ParaView client-server visualization. | ||
1. First, install the same ParaView version as the one available on the cluster you will be using | 1. First, install on your laptop the same ParaView version as the one available on the cluster you will be using; log into Cedar or Graham and start a serial GPU interactive job. | ||
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:The job should automatically start on one of GPU interactive nodes. | :The job should automatically start on one of the GPU interactive nodes. | ||
2. At the prompt that is now running inside your job, load the ParaView GPU+EGL module, change your display variable so that ParaView does not attempt to use the X11 rendering context, and start the ParaView server. | 2. At the prompt that is now running inside your job, load the ParaView GPU+EGL module, change your display variable so that ParaView does not attempt to use the X11 rendering context, and start the ParaView server. | ||
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4. Start ParaView on your laptop, go to ''File -> Connect'' (or click on the green ''Connect'' button on the toolbar) and then click ''Add Server''. You'll need to point ParaView to your local port 11111, so you can do something like name = cedar, server type = Client/Server, host = localhost, port = 11111, then click ''Configure'', | 4. Start ParaView on your laptop, go to ''File -> Connect'' (or click on the green ''Connect'' button on the toolbar) and then click ''Add Server''. You'll need to point ParaView to your local port 11111, so you can do something like name = cedar, server type = Client/Server, host = localhost, port = 11111, then click ''Configure'', select ''Manual'' and click ''Save''. | ||
:Once the remote is added to the configuration, simply select the server from the list and click Connect. The first terminal window that read | :Once the remote is added to the configuration, simply select the server from the list and click ''Connect''. The first terminal window that read ''Accepting connection ...'' will now read ''Client connected''. | ||
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5. Open a file in ParaView (it | 5. Open a file in ParaView (it will point you to the remote filesystem) and visualize it as usual. | ||
'''NOTE:''' An important setting in ParaView's preferences is ''Render View -> Remote/Parallel Rendering Options -> Remote Render Threshold''. If you set it to default (20MB) or similar, small rendering will be done on your laptop's GPU, the rotation with a mouse will be fast, but anything modestly intensive (under 20MB) will be shipped to your laptop and—depending on your connection—visualization might be slow. If you set it to 0MB, all rendering will be remote including rotation, so you'll be really using the cluster's GPU for everything, which is good for large data processing but not so good for interactivity. Experiment with the threshold to find a suitable value. | |||
== CPU-based client-server visualization on Cedar and Graham == <!--T:43--> | == CPU-based client-server visualization on Cedar and Graham == <!--T:43--> | ||