Hi all,
I've recently installed Amber14 on my local cluster. The serial and parallel CPU versions both pass all of the included tests without any errors or failures. The serial GPU version reports a few possible failures, but manual inspection shows that these are all infrequent and likely harmless. (maximum relative errors =< 1e-3) The parallel GPU code passes the tests (similar to the serial GPU version) if I use 2 GPUs. However, when I run the same tests with 4 GPUs I see frequent differences with relative errors around 1-2. This often corresponds to energy differences on the order of tens to hundreds of kcal/mol.
I realize that the highly parallel nature of GPU calculations will result in test differences, but what I'm seeing seems too large to be caused by order of operations or round off errors. Does anyone have any idea what could be causing this behavior?
I'm running this on Tesla S2050 GPUs with driver version 331.62. The code was built with gnu 4.8 and CUDA 6.0 compilers.
Thanks for your help,
Gard
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Received on Wed Sep 03 2014 - 13:00:03 PDT
