![]() ![]() Then choose "File - Connect" (or click the "Connect" icon in the clients toolbar). Start the ParaView program on your local machine as usual. ![]() In the following we describe the steps necessary for establishing a so called "reverse connection" (i.e., the server connects to the client instead of that the client connects to the server) from the client running on your local machine to the server running on Cekon, so the recommended way is to start the local client first, and afterwards the remote server (otherwise you might get error messages that the connection was refused nevertheless it is possible to connect if you are fast enough to start and configure the client (see steps 1 and 2 below) also in this case since the server retries for about one minute to establish a connection to the client). In client-server mode, one executes the pvserver program on a parallel machine and establish a connection with the ParaView client application on your local workspace computer. This mode of running ParaView is also called "Client-Server mode". Note It is important that the version of the client match that of the server!įor a local installation of ParaView on the rendering server see Installation of ParaView (optional). Prerequisites: ParaView (client) is installed on your local machine, and ParaView (server with MPI support) is installed on the machine which is intended as rendering server. on your local workplace computer solely for the purpose of visualisation. There are at least two advantages of the approach introduced in the following: You can utilise the processing power of a parallel machine to render (very) huge data sets, and, if you utilise the same parallel machine which you've used to generate these data sets as "rendering server" also there is no need to transfer the data e.g. This XML is used to generate GUI and 3D controls for manipulation of the simulation without requiring explicit knowledge of the underlying model.General Information about Parallel Rendering ![]() To avoid the problem of manually customizing the GUI for each application that is to be steered, we make use of XML templates that describe outputs from the simulation, inputs back to it, and what user interactions are permitted on the controlled elements. This allows not only simple parameter changes, but complete remeshing of grids, or operations involving regeneration of field values over the entire domain, to be carried out. ![]() The coupled applications write and read datasets to the shared virtual HDF5 file layer, which allows the user to read data representing any aspect of the simulation and modify it using ParaView pipelines, then write it back, to be reread by the simulation (or vice versa). The simulation and ParaView tasks run as separate MPI jobs and may therefore use different core counts and/or hardware configurations/platforms, making it possible to carefully tailor the amount of resources dedicated to each part of the workload. Data transfer between the simulation and the ParaView server takes place using a virtual file driver for HDF5 that bypasses the disk entirely and instead communicates directly between the coupled applications in parallel. The implementation allows a flexible combination of parallel simulation, concurrent parallel analysis and GUI client, all of which may be on the same or separate machines. We present a framework for interfacing an arbitrary HPC simulation code with an interactive ParaView session using the HDF5 parallel IO library as the API. ![]()
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