Parallel programming

Rajinder Yadav devguy.ca-Re5JQEeQqe8AvxtiuMwx3w at public.gmane.org
Wed Aug 5 00:57:19 UTC 2009


On Tue, Aug 4, 2009 at 5:40 PM, ted leslie<tleslie-RBVUpeUoHUc at public.gmane.org> wrote:
> one of the reasons i like C#  is that it is trying to work in this direction.
> (and ironically enough, its MS that puts up a majority chunk of the $ and direction for this).
> There are libraries for many languages to do light weight threading,
> C in particular, fortan for more static approaches to certain parallel math hardware.
> i dont think C#/.net (mono) is were you want to be now, but I do believe it will
> be the first there (core to popular language wise) shortly.
> For now, you might be best to use some libraries/tools for C.
> (i did a bunch of this back in McMaster and Waterloo in late 80's/90's,
> when the end of MHz was coming ... ha ha, we are only just now
> hitting the wall now so to speak),
> but to me , i am interested in tackling this problem core to the language,
> and with some of it done (done right), with out me even having to know its happening,
> and at other times, me designing to it.
> Mono is actively doing work in this area now, some off of MS, and some its own initiative.
> of course you need very light weight threads to make best use of
> the common quad or octal processor units these days, and even then,
> the weight of the thread can of course make the time worst then serial,
> if the work needed is very little, and it doesn't make up for the over head in threading.
> raytracing of course is a great one for parallel, and there is a
> parallel zip util out for linux now too, you might want to
> see what they use for lwt env.
>
> as mentioned, cloud computing parallel is not related to SMP,
> with cloud, you have to break off sizable computational pieces,
> and they should have their own copy of the data (or most of it),
> so web services work, but even distributing a ray tracer can too.
> if you can break your sim. off in nice large chunks, cloud might be great.
> There are libraries for this too of course.
>
> -tl
>
>
>
>
> On Tue, 4 Aug 2009 15:45:55 -0400
> "William O'Higgins Witteman" <william.ohiggins-H217xnMUJC0sA/PxXw9srA at public.gmane.org> wrote:
>
>> Does anyone have experience or can recommend a good resource for
>> high-performance parallel programming?
>>
>> Specifically, I have been asked to help one of my colleagues parallelize
>> a simulation.  Ideally I would like to be able to run it on many, many
>> Linux machines via Amazon Web Services or similar service, but it would
>> be great to maximize an arbitrary number of cores as well as
>> physical/virtual machines.  Thanks.
>> --
>>
>> yours,
>>
>> William
>>
> --
> ted leslie <tleslie-RBVUpeUoHUc at public.gmane.org>
> --

Just throwing this out there, heard of these projects, never worked
with either framework. These are pretty much multi-core / GPU
frameworks.

http://www.nvidia.com/object/cuda_home.html#

http://www.rapidmind.net/

-- 
Kind Regards,
Rajinder Yadav
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