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 - 09:00:04 PDT
