Helen Wright, Ken Brodlie, Jason Wood and Jim Proctor

Presented at 6th International Euro-Par Conference, 2000

Abstract

Visualization systems based on the dataflow paradigm are enjoying increasing popularity in the field of scientific computation.  Not only do they permit rapid construction of a display application, but they also allow the simulation to be incorporated, giving the scientist the opportunity for computational steering as well.  However, if these systems are to realise their full potential as problem solving frameworks, the three key requirements of support for group working, data persistence and usability must be addressed.  This paper reviews our prior work on collaborative visualization and data management and reports new developments to improve user interface flexibility.  These extensions are then assessed in the context of a unifying, augmented architecture, which in turn indicates scope for future work.