HP Scalable Visualization Array Software - Manual (Page 23)

features extracted based on application settings. The application then caches the results of the
analysis or rendering to display an animation of the time steps.
Although parallel visualization is a relatively new approach, some file access patterns that
applications use include the following:
•
Master portion of the application reads data from files and distributes data to visualization
nodes using the SI.
• Visualization nodes all read data from the same files.
• Visualization nodes all read data from different files.
• Master writes data; for example, to save an animation sequence.
Dataset sizes can range from less than 1GB to more than 100GB. Some examples include seismic
datasets that are 1GB to 128GB, and medical datasets that are 1GB to 50GB.
Applications access files using HP Scalable File Share (SFS) or NFS. When visualization nodes
are integrated into a cluster with HP SFS, they access this file system using the SI. When HP SFS
is in a separate cluster and not accessible by the SI, access is with GigE.
See the SVA System Administration Guide for more information.
2.3 SVA Operation 23