Re: parallel visualization software

Hi

I might do a demo/presentation of what I learned of Visit either tomorrow
or, more likely, next week (although I am sure I won't be able to cover
everything there is in this package). Right now I have it on my computer,
I'll see if I can succesfully install it on my old laptop. If not, we will
have to move to my office to see it in action (since Visit supports
stereo rendering, it will nice to see it in action with our projectors
when they will be ready).
In the meantime
if you are interested in the package, you can look at their website
(http://www.llnl.gov/visit/).

Enrico

On Tue, 25 Oct 2005, Michael S. Vogeley wrote:

> See http://www.llnl.gov/visit/about.html
>
> A student here at Princeton found this and we're looking at using this for
> visualizing SDSS data. I'll report on it's usefullness. This approach may
> clash with NCSA design, but it's good to know what's out there.
>
> Note the following from their web page:
>
> Open-source code
> VisIt's code is open source, allowing programmers to read, redistribute, and
> modify the source code.
>
>
> VisIt’s rendering and data processing capabilities are split into viewer and
> engine components that may be distributed across multiple machines:
>
> * Viewer—Responsible for rendering and is typically run on a local
> desktop or visualization server so that it can leverage the extremely
> powerful graphics cards that have been developed in the last few years.
> * Engine—Responsible for the bulk of the data processing and input/output
> (I/O) and is typically run on a remote machine where the data is located.
> This eliminates the need move the data and makes high-end compute and I/O
> resources available to it. The engine can be run serially on a single
> processor or in parallel on thousands of processors.
>
> Python scripting interface gives users the ability to batch process data
> using a powerful scripting language. This feature can be used to create
> extremely sophisticated animations or implement regression suites. It also
> allows simulation systems that use Python as a back-plane to easily integrate
> visualization capabilities into their systems.
>
> ****************************************************************
> Michael S. Vogeley
>
> Current address (until September 2006):
> Department of Astrophysical Sciences
> Princeton University, Princeton, NJ 08544-1001
> Phone: (609)258-6301 Fax: (609)258-1020
> Email: vogeley@princeton.edu
>
> Permanent address:
> Department of Physics, Drexel University, Philadelphia, PA 19104
> Phone: (215)895-2710 FAX: (215)895-5934
> Email: vogeley@drexel.edu Web: www.physics.drexel.edu
> ****************************************************************
>
Received on Tue Oct 25 12:37:43 2005