Xref: utzoo comp.unix.cray:156 comp.graphics:12539 comp.parallel:1631
Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!uunet!wuarchive!emory!hubcap!malcolm
From: malcolm@Apple.COM (Malcolm Slaney)
Newsgroups: comp.unix.cray,comp.graphics,comp.parallel
Subject: Visualization Machines
Keywords: visualization, machines, fast
Message-ID: <9811@hubcap.clemson.edu>
Date: 24 Jul 90 13:06:52 GMT
Sender: fpst@hubcap.clemson.edu
Organization: Apple Computer Inc., Cupertino, CA
Lines: 21
Approved: parallel@hubcap.clemson.edu

What are good machines for scientific visualizations?  We have a Cray but
I'm looking around for other machines that can do my work nearly as fast.

My research (models of human hearing) can support parallelism and lots of
vectorization.  I want to be able to compute something and then display the
result very quickly (20 frames per second) on a monitor.

I guess the numbers that are important to me are >100 MFlops of peak 
performance and > 25 Mega-pixels per second output rate (at the same time.)

Should I think about Convex?  What about the new Connection Machine?  Machines
like the DAP and the MassPar seem to be too hard to program (I want to do
new research in hearing, not algorithm development.)

What do people think?

Thanks.

							Malcolm Slaney
							Apple Perception Group
							malcolm@apple.com