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Subject: Re: [Boost-users] ublas speed and multi-core processors
From: petros (pmamales_at_[hidden])
Date: 2011-10-23 14:38:10


Hi Rutger,
Thank you fo the reminder.
We have spoken already.
However, please notice that my question is very specific on multi-threading
uBLAS vector and matrix expressions.
Thank you for your effort to help.
Petros

-----Original Message-----
From: Rutger ter Borg
Sent: Sunday, October 23, 2011 7:06 AM
To: boost-users_at_[hidden]
Subject: Re: [Boost-users] ublas speed and multi-core processors

On 2011-10-22 20:07, petros wrote:
> Hi Matthieu,
> I considered Eigen, but have already invested a lot of time/effort with
> ublas.
> The main issue with Eigen is that it did not provide (at least at first
> sight) with
> any handling of the allocator.uBLAS does so through the unbounded_array
> input and this is very useful in overwriting allocation functionality.
> Also, I am really looking for wrapping LAPACK, since I don’t believe in
> rewriting code
> that is mature, works very well and has been optimized over a long period
> of time ( as happens with mkl ) and covers a plethora of numerical
> algorithms (as LAPACK does).
> But, there should be an answer within the uBLAS confines, right?
> Thank you for your help,
> Petros

Hello Petros,

are you aware of the existance of the Boost.Numeric_Bindings project? It
is the glue between (optimised) algorithms from LAPACK, BLAS, and more
and containers such as those provided by uBLAS.

It may be found in Boost's sandbox at

http://svn.boost.org/svn/boost/sandbox/numeric_bindings/

Cheers,

Rutger

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