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


1 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.
2 Database support
  • This will support asynchronous and synchronous collaboration on scientific visualization
3 Increase the speed of multi-cast
  • How to use multi-threading in a more efficient way is also a very interesting issue.
4 Compression Schemes
  • Data must be compressed in order to view data in a "reasonable" amount of time.

in Table To:


© Northeast Parallel Architectures Center, Syracuse University, npac@npac.syr.edu

If you have any comments about this server, send e-mail to webmaster@npac.syr.edu.

Page produced by wwwfoil on Tue Jul 6 1999