Re: parallel visualization software

Yes it should run on linux, windows and mac too. My old laptop does not
have a lot of memory and I might have problems in handling some kind
of plots.

Enrico

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

> 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 15:49:59 2005