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Subject: Re: [ublas] Status of development /Benchmarks
From: oswin krause (oswin.krause_at_[hidden])
Date: 2013-12-09 12:00:25


Hi,

this is not right. OpenMP was written against C++98 not C++03 or C++11.
And the status regarding this is outlined here:

http://stackoverflow.com/questions/13837696/can-i-safely-use-openmp-with-c11

with for example a real world problem outlined here:
http://stackoverflow.com/questions/13197510/why-do-c11-threads-become-unjoinable-when-using-nested-openmp-pragmas

So for example in an application where the gui runs in one thread and
the computation in another and the computations use OpenMP, your
application might crash.

On 09.12.2013 17:26, Riccardo Rossi wrote:
> just a brief comment again on OpenMP:
>
> openmp IS compatible with c++, and a clang version exists already,
> although it is not merged to the repository
>
> http://clang-omp.github.io/
>
>
> regards
> Riccardo
>
>
> On Mon, Dec 9, 2013 at 4:14 PM, Nasos Iliopoulos <nasos_i_at_[hidden]
> <mailto:nasos_i_at_[hidden]>> wrote:
>
> Karli,
> I am not so sure the requirements for smal /large containers are
> so diverse. After all you can have compile-time dispatching for
> small (static) or large (dynamic) containers if you want to use
> different algorithms for each or for mixed cases. Can you please
> elaborate if I am not getting it right?
>
> -Nasos
>
>
>
>
> On 12/09/2013 09:49 AM, Karl Rupp wrote:
>
> Hi guys,
>
>
> > the whole problem of most numerical packages, IMHO, is that
> everything
>
> is tied together. I would encourage a very loosely coupled
> system. I.e.,
> a system that maybe even would be able to switch storage
> layout,
> algorithms, etc., at run-time, maybe following some simple
> numerical
> tests. Of course, only if this would be enabled at
> compile-time.
>
>
> From my experience with rebuilding the uBLAS interface within
> ViennaCL I fully support this suggestion.
>
>
> * the storage of data. This is about memory-efficiency,
> and hence, speed
> of computation. Storage engines might be linear, sparse, etc..
> * functional shape of the data. Dense, triangular, etc.
> * numerical properties of the data. Positive definite, etc.
> * loading and saving the data. Why not support a whole
> bunch of
> data-formats
> * unified matrix/vector view on the data
> * procedural manipulation of the data, shallow views on
> the data, views
> on views, etc.
>
>
> One important question should be answered upfront: Should
> ublas focus on linear algebra for 'small' vectors/matrices, or
> 'big' vectors/matrices? I don't consider 'both' a legitimate
> answer here, because the two extremes have highly diverse
> requirements:
> - For 'small' data (say, 10x10) one goes with expression
> templates, just because any additional runtime overhead is not
> acceptable.
> - For 'large' data one can do a lot of tricks with respect to
> avoiding memory transfers with some delayed execution
> techniques. Also, this is the regime where one can slowly
> start to think about threads, accelerators, etc. Most
> machine-specific metrics then become only available at
> runtime, so one needs some runtime logic in addition to
> expression templates anyway. One may even get rid of
> expression templates here and instead enjoy faster compilation
> times and increased flexibility at runtime.
>
> Just my 2 cents of course... :-)
>
> Best regards,
> Karli
>
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>
>
>
> --
>
> Dr. Riccardo Rossi, Civil Engineer
>
> Member of Kratos Team
>
> International Center for Numerical Methods in Engineering - CIMNE
> Campus Norte, Edificio C1
>
> c/ Gran Capitán s/n
>
> 08034 Barcelona, España
>
> Tel: (+34) 93 401 56 96
>
> Fax: (+34) 93.401.6517
>
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>
>
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