szilard.pall at cbr.su.se
Tue Jul 12 18:30:42 CEST 2011
As this is not a development-related question I'm moving the
discussion to the user's list. Future replies should be sent *only* to
gmx-users at gromacs.org.
As Axel pointed out, the list of CUDA-compatible devices is much
broader than the list of cards we label compatible. The compatibility
check is just a safety measure as GPUs not considered compatible will
be slower than most recent CPUs (see performance comparison on the
website http://goo.gl/eo0jS) especially in explicit water simulations.
However, you can always try by using the "force-device=yes" option and
see what performance you get, but you shouldn't expect much from a
>> Thank you
>> Waleed A. Zalloum,
>> MSc of pharmacy and Pharmaceutical sciences,
>> Molecular Modeling
>> School of Pharmacy and Pharmaceutical Sciences,
>> Faculty of Medical and Human Sciences,
>> The University of Manchester
>> Manchester, UK
>> Third year PhD student.
>> E-mail: waleed_zalloum at yahoo.com
>> Mobile: +44(0)7863763084
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> Dr. Axel Kohlmeyer akohlmey at gmail.com
> Institute for Computational Molecular Science
> Temple University, Philadelphia PA, USA.
> gmx-developers mailing list
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