You can also do interactive client-server ParaView rendering on cluster CPUs. If your ParaView server gets killed when processing these data, you will need to increase the number of cores. a structured to unstructured dataset conversion will increase your memory footprint by ~3X) depending on your workflow, you may want to start this rendering with 32 cores or 64 cores. In addition, it is important to allocate some memory for filters and data processing (e.g. Since software rendering is CPU-intensive, we do not recommend allocating more than 4GB/core. a single timestep) would require at least 12 cores just to hold the data. For example, a 40GB dataset (that you load into memory at once, e.g. The easiest way to estimate the number of necessary cores is to look at the amount of memory that you think you will need for your rendering and divide it by ~3.5 GB/core. Due to additional complications with GPU rendering, we strongly recommend starting with CPU-only visualization, allocating as many cores as necessary to your rendering. On Cedar, Graham, Béluga and Narval, you can do client-server rendering on both CPUs (in software) and GPUs (hardware acceleration). Please use the tabs below to select the remote system.Ĭlient-server visualization on Cedar, Graham, Béluga and Narval For example, to use ParaView server version 5.10.0 on the cluster, you need client version 5.10.x on your computer. NOTE 2: ParaView requires the same major version on the local client and the remote host this prevents incompatibility that typically shows as a failed handshake when establishing the client-server connection. Experiment with the threshold to find a suitable value. If you set it to 0MB, all rendering will be remote including rotation, so you will really be using the cluster resources for everything, which is good for large data processing but not so good for interactivity. If you set it to default (20MB) or similar, small rendering will be done on your computer's GPU, the rotation with a mouse will be fast, but anything modestly intensive (under 20MB) will be shipped to your computer and (depending on your connection) visualization might be slow. NOTE 1: An important setting in ParaView's preferences is Render View -> Remote/Parallel Rendering Options -> Remote Render Threshold. 2 Remote VNC desktop on Graham VDI nodes.ParaView can write the Python script for you using the Python Tracing feature, which records actions in the ParaView desktop application as Python code. The ParaView Guide has examples of Python scripting throughout. Get started writing ParaView Python scripts Programmable data sources and filters provide low-level access to data and enable you to perform custom data filtering operations not already available in ParaView. In addition to scripting ParaView visualization pipelines, ParaView provides several ways to enhance its capabilities. You can leverage scripting in ParaView to quickly develop more tailored solutions through the Web or as standalone applications. Python scripts for ParaView form a basic building block of custom web-enabled visualization applications using platforms like ParaViewWeb and trame. If you can script it, you can visualize it on the web! They can also be invoked as part of in situ analysis while a simulation is running using Catalyst. Scripts even work in client/server mode and on servers running on thousands of processors. This is especially useful in batch processing so you can extract meaningful information from large simulations, either in situ or post-processing. Scripting lets you easily streamline repetitive jobs, handle intensive tasks without interaction, and create dedicated solutions for their needs. ParaView’s Python scripting layer is useful when the interactive exploration phase is over, and you are ready to apply analysis and visualization pipelines to large datasets. This capability is useful in several contexts. ParaView provides Python scripting modules that cover all of the capabilities of the ParaView desktop application. Full visualization and analysis pipelines can be scripted and run without relying on the ParaView desktop application.
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