SEMINAR

Collaborative Scientific Visualization

Syracuse University
NPAC
Syracuse, New York

ABSTRACT

We have designed and implemented a collaborative scientific visualization package using Java. By using this software, the users can visualize 1d(x,f(x)), 2d, vector, and isosurface data set(s). One of the key features is that the filters are user definable. A filter is an action, which is performed on data set(s) to create new data based on this action. Since our system is collaborative, it makes it possible to create a powerful platform where many different users can exchange their own filters by showing other users how his/her filter performs. We have created APIs for users to design their own filters. We use a client-server model for data visualization. The users can send the data to the server anywhere the socket is supported so that our system can be used as a front end to other applications, which produces the data set. If one application produces a data set, it can write the output data set to a socket, which is connected to our server. Our system will then allow the user to analyze and visualize the data. Our system is flexible and very usable and thus we feel that researchers can benefit from using our software.

Additional information can be found at Collaborative Scientific Visualization

WHERE: TEC 101

WHEN(day): Wednesday, September 24, 1997

WHEN(time): 12:00 NOON

EVERYBODY IS INVITED