Re: parallel visualization software

From: Michael S. Vogeley <vogeley@drexel.edu>
Date: Tue Oct 25 2005 - 15:27:44 EDT

It installed without any issues on my linux desktop. I did not yet try
on my powerbook. Supposedly will even run under windows.

E. Vesperini wrote:
> 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
>> ****************************************************************
>
>
>>

-- 
****************************************************************
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 15:27:38 2005

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