[Pw_forum] GPU Amount Memory

[Rafael Ribadeneira]

Good morning Dear Filippo,
Thank you. I will write the post there. Thanks a lot.
Kind regards,
Rafael R.


On Wed, May 1, 2013 at 6:11 PM, Filippo Spiga <spiga.filippo at gmail.com>wrote:

> Dear Rafael,
>
> the appropriate mailing-list for QE-GPU is
> http://qe-forge.org/mailman/listinfo/q-e-gpgpu I strongly suggest to
> address any query on that mailing-list directly
>
> On Apr 29, 2013, at 7:29 PM, Rafael Ribadeneira <reribade at unal.edu.co>
> wrote:
>
> Dear Forum - Members,
>
> I request your help with the following error, whereas running pw.x in the
> gpu-version of QE:
>
> ---------
> [NEWD] Problem don't fit in GPU memory, memory requested ( 10322157 ) >
> memory allocated  (0 )!!!
> [VLOC_PSI_K] Problem don't fit in GPU memory --- memory requested (
> 75950756 ) > memory allocated  (0 )!!!
> ----------
>
> We  understand that this is a problem with the amount of memory, we know
> that we have to modify the file: "cuda_env.h", changing the flag in this
> file:
>
> #if defined __CUDA_GET_MEM_HACK
> #define __GPU_MEM_AMOUNT_HACK__
> #endif
>
>
> How can we assign the amount of memory by hand in this flag?
>
>
> Easy answer: you need to specify the amount of memory in byte.
>
> Complicated answer: your machine or your software environment has
> something wrong and putting a number in cuda_env.h will probably produce a
> crash.
>
> I already exchanged one or two emails with Jarol, he should be aware that
> I have already suggested that the problem might be your system and not the
> code. Anyway this "hack" has been deprecated in the 5.0.x. First I strongly
> suggest you to move to 5.0.x if possible. Based on the information you
> provide in the email I cannot guess why this happen. That "0" is the amount
> of free memory on the GPU card detected at runtime by a specific CUDA call.
> If it return zero there might be several reasons.
>
> - check that where you compile the CUDA driver in installed (not only the
> toolkit, also the CUDA driver)
> - check that the GPU is visible and works correctly (by running one or two
> examples provided by the CUDA toolkit)
> - check that the GPU is in shared mode (using nvidia-smi)
> - check that CUDA is linked properly to the executable and the environment
> is correct (I can do that if you provide the config.log)
> - be sure to use the latest CUDA driver and toolkit PLUS the latest
> version of QE-GPU
>
> Hope this help
>
> Filippo
>
> --
> Mr. Filippo SPIGA, M.Sc.
> http://filippospiga.me ~ skype: filippo.spiga
>
> «Nobody will drive us out of Cantor's paradise.» ~ David Hilbert
>
>
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>



-- 

___________________
Rafael Esteban Ribadeneira Paz
Doctor en Ingeniería (Ph.D.)*
Departamento de Procesos y Energía
Facultad de Minas
Universidad Nacional de Colombia - Sede Medellín*
Tel: (57) 4 4255380
Cra. 80 # 65-223, Bloque M3, Of. 100A int. 4
reribade at unal.edu.co <reribade at gmail.com>
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