Output to the screen can use a huge amount of processing time. The worst offenders are multi-line text boxes where text is constantly being added and scrolled. If you think that the CPU usage for the Cascade DataHub is too high, close all Event Log and Script Log windows.
You may also find that the Data Viewer window uses too much CPU if the data is changing very rapidly or if the number of data points visible in the right-hand pane of the Data Viewer is very large. Try closing the Data Viewer to reduce CPU load. If you need to monitor some data in the Data Viewer, consider using bridging to collect the subset of data points that you need into separate data domain. Viewing that subset of the data will consume less CPU and may have the added benefit of being more convenient.
Close the Event Log windows when not in use.
Close the Script Log window when not in use.
Close the Data Viewer when not in use, or use bridging to create a smaller subset of data in a separate data domain.
Copyright © 1995-2010 by Cogent Real-Time Systems, Inc. All rights reserved.