Hi Oliver,
Please provide your input files so we can try to reproduce this error. I
suspect it is fixed in the latest updates to come shortly. Although it could
also be an issue with your structure so we'd need to see these files in
order to check this.
All the best
Ross
> -----Original Message-----
> From: Oliver Kuhn [mailto:oak.amber.googlemail.com]
> Sent: Monday, July 11, 2011 8:33 AM
> To: AMBER Mailing List
> Subject: [AMBER] cudaMemcpy GpuBuffer::Upload failed invalid argument
>
> Dear Amber users and developers,
>
> I am running simulation on
>
> |------------------- GPU DEVICE INFO --------------------
> |
> | CUDA Capable Devices Detected: 3
> | CUDA Device ID in use: 0
> | CUDA Device Name: Tesla T10 Processor
> | CUDA Device Global Mem Size: 4095 MB
> | CUDA Device Num Multiprocessors: 30
> | CUDA Device Core Freq: 1.44 GHz
> |
> |--------------------------------------------------------
>
>
> When testing on cpu, everything went fine.
> Now my simulations all stop at the second equilibration step when
> reading
> the restart file from equilibration 1.
>
>
> ...
> GRAPH NAME = * SYMBOL = * TREE SYMBOL = M RESIDUE
> TYPE
> = *
>
> GRP 1 RES 1 TO 10036
> Number of atoms in this group = 606
> ----- END OF GROUP READ -----
>
> -----------------------------------------------------------------------
> ---------
> 3. ATOMIC COORDINATES AND VELOCITIES
> -----------------------------------------------------------------------
> ---------
>
>
>
> begin time read from input coords = 2.000 ps
>
>
> ANd here it stops with 'cudaMemcpy GpuBuffer::Upload failed invalid
> argument'
>
>
> Any idea what this could mean?
> What information would you need to track the error?
>
> Regards,
> Oliver
>
>
> --
> Oliver Kuhn, Department of Bioinformatics,
> Center for Medical Biotechnology, University of Duisburg-Essen,
> Universitätsstr. 1-5, 45141 Essen, Germany
> phone +49 201 183-3121, oliver.kuhn.uni-due.de
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Received on Mon Jul 11 2011 - 09:30:03 PDT
