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
Sent: Saturday, October 22, 2011 1:43 PM
Subject: Re: [Boost-users] ublas speed and multi-core
processors
Hi,
You
may want to try Eigen instead.
Matthieu Brucher
2011/10/22 petros
<pmamales@nyc.rr.com>
Hi,
Is there any way to use ublas taking advantage of the multi-core facility
of current processors?
Even naive “strategies”, like breaking the number of rows of a targeted
matrix expression across
different threads would improve performance significantly, even if not
optimally.
It would be nice to be able to use the matrix expression templates to
perform operations in a multi-threaded
way.
Is there any provision for this?
Thank you for your help,
Petros
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