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.
|