1 assumptions and goal, 2 paraview overview, 1 assumptions and goal 6.2.2 paraview overview – HP Scalable Visualization Array Software User Manual
Page 50: Section 6.2
The atlantis application display begins.
7.
Exit the application to stop the application only. You can then restart the application using
the same application command or another command, including a command with a different
application. Cluster resources remain allocated.
To deallocate the cluster resources and stop the RGS process on the cluster, exit the desktop
environment completely.
Provide input to the application while it is running using the local desktop keyboard and mouse.
Display output from the application appears on your local desktop and simultaneously appears
on the display device in the SVA.
TIP:
In place of an application command (atlantis in the previous example), you could also
use one of the SVA launch scripts, for example, sva_paraview.sh with the --local option.
See
for more information.
6.2 Running Render and Display Applications Using ParaView
This section describes how to run a parallel visualization application on the SVA using both
render and display nodes, using ParaView as a representative example.
6.2.1 Assumptions and Goal
This example assumes you have a rendering application such as ParaView to analyze, display,
and enhance an existing data file for analysis. An application such as ParaView can run on a
single workstation; however, it can also take advantage of the more powerful parallel features
of the SVA to display data on a multi-tile display, and improve performance by distributing the
rendering and compositing among the cluster nodes.
This example also assumes that you want to run the rendering application on the SVA while
maintaining control remotely from a desktop that is outside the cluster.
You must have the cluster set up with the HP XC and the SVA software. You must also have
your rendering application (in this example, ParaView) installed and properly configured on
those nodes within the cluster that you will use for rendering and display. For ParaView, you
must build the MPI version of ParaView to take advantage of the parallel features of the SVA
before you install it on the SVA nodes. Note that ParaView is not provided as part of the SVA
Kit.
You also must have the X Server on your local desktop configured to accept ParaView display
output.
6.2.2 ParaView Overview
ParaView is an open source, multiplatform, extensible application designed for visualizing large
datasets. This scalable application runs on single-processor workstations as well as on large
parallel supercomputers. ParaView features include:
•
Runs parallel on distributed and shared memory systems using MPI. These include
workstation clusters, visualization systems, large servers, supercomputers, and so on.
•
The user interface can run either on the root MPI node or on a separate workstation using
client/server mode.
•
ParaView uses the data parallel model, in which the data is broken into pieces to be processed
by different processes. Most of the visualization algorithms function without any change
when running in parallel.
•
Supports both distributed rendering (where the results are rendered on each node and
composited later using the depth buffer), local rendering (where the resulting polygons are
collected on one node and rendered locally) and a combination of both (for example,
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Application Examples