Re: Parallel computations
- To: mathgroup at smc.vnet.net
- Subject: [mg82919] Re: Parallel computations
- From: Jens-Peer Kuska <kuska at informatik.uni-leipzig.de>
- Date: Sat, 3 Nov 2007 03:28:05 -0500 (EST)
- References: <firstname.lastname@example.org> <email@example.com> <200710311124.GAA22911@smc.vnet.net> <firstname.lastname@example.org>
it is not clear *what* you wish to do with your Mathematica.
If you have a lot self programmed symbolic stuff you should
use the Personal Grid Edition and the Parallel Computing Toolkit.
If you have a lot of numeric stuff with matrix operations or
a lot of interactive or graphic applications the SMP support
of Mathematica would do be sufficient.
I'm sure, that with Mathematica, a shared cache is the very last
thing you should think about ... that is a question if you
have a C/C++ program that should run parallel and not if you have
a interpreter like Mathematica that pack every data into a buffered
(Math)Link and send it to an second and third kernel -- this is
all light years slower than a shared/not-shared cache.
BTW I have a large image processing toolkit that run parallel
on SMP machines and the most of it, is written in C++ and
the Parallel Computing Toolkit was never an option, because the
data exchange via a shared memory link was always to slow ...
Stefan Porubsky wrote:
> Jens-Peer Kuska wrote:
>> since when a C/C++ compiler generate parallel code with out
>> any help and with out an extension like OpenMP or TBB ??
>> linuxl4 at sohu.com wrote:
>>> if you are a fortran or C programmer, a multi-core processor will
>>> benefit you. so does mathematica.
> Hi all,
> thanks for the answers. Unfortunately, I am neither a Fortran nor a C
> programmer. To be more precise, it is not clear to me, what is better
> for Mathematica (Personal Grid) parallel computations, a multi-core
> processor machine or one with more processors? And what about the
> question of the relation to shared cache?
> Thanks and regards,
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