Basic HTML version of Foils prepared July 6 99

Foil 9 7. Future work

From SV2 Collaborative Visualization System Tutorials at ACM Java Grande Meeting -- June 14 99. by Jianxiang Jin, Scott Klasky


Parallel computing on SV2-server.
  • Since substantial computing is be done on SV2-server , decreasing this time is critical. We will focus on developing a server on multiple processors using MPI + Java.
Database support
  • This will support asynchronous and synchronous collaboration on scientific visualization
Increase the speed of multi-cast
  • How to use multi-threading in a more efficient way is also a very interesting issue.
Compression Schemes
  • Data must be compressed in order to view data in a "reasonable" amount of time.



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