erties to the MB should I consider for such system ?
>>
>> James
>>
>>
>> 2013/5/28 lloyd riggs
>>
>>> Dear Dr. Pali,
>>>
>>> Thank you,
>>>
>>> Stephan Watkins
>>>
>>> *Gesendet:* Dienstag, 28. Mai 2013 um
kins
>>
>> *Gesendet:* Dienstag, 28. Mai 2013 um 19:50 Uhr
>> *Von:* "Szilárd Páll"
>>
>> *An:* "Discussion list for GROMACS users"
>> *Betreff:* Re: Re: [gmx-users] GPU-based workstation
>> Dear all,
>>
>> As far as I un
the MB should I consider for such system ?
James
2013/5/28 lloyd riggs
> Dear Dr. Pali,
>
> Thank you,
>
> Stephan Watkins
>
> *Gesendet:* Dienstag, 28. Mai 2013 um 19:50 Uhr
> *Von:* "Szilárd Páll"
>
> *An:* "Discussion list for GROMACS users"
Dear Dr. Pali,
Thank you,
Stephan Watkins
Gesendet: Dienstag, 28. Mai 2013 um 19:50 Uhr
Von: "Szilárd Páll"
An: "Discussion list for GROMACS users"
Betreff: Re: Re: [gmx-users] GPU-based workstation
Dear all,
As far as I understand, the OP is interested in h
Dear all,
As far as I understand, the OP is interested in hardware for *running*
GROMACS 4.6 rather than developing code. or running LINPACK.
To get best performance it is important to use a machine with hardware
balanced for GROMACS' workloads. Too little GPU resources will result
in CPU idling
On Nvidia benchmarks I've found suggestions of using of the two 6 cores CPU
for systems with the 2 GPU.
Assuming that I'll be using two 680 GTX cards with 256 bits and 4gb ram
(not a profesional nvidia cards like TESLA)
what CPU's could give me the best performance- 1 i7 of 8 cores
or 2 Xeons e5 w
You can also look at profilling on varied web sites, the high end Nvidia run only slightly better than the 2 year old ones, from an individual point not worth the money yet, but if you have the money? as I've been browsing.
Also, the sim I did on the cluster was 180-190,000 atoms so the exac
Id go for the i7 6 core,
To the other message, funny. I bought ATI's as they clock faster and cost 1/3 the price of Nvidia's but then the software all went to Nvidia. The new ATI with twice the shaders runs at the same speed (around 1-1.3 terflops ) due to the same problems the Nvidias ran
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