Dear Amber developers and users,
Thank you for kind support.
I would resolve the following error by
Adding $CUDA_HOME/* to $LD_LIBRARY_PATH.
However, in the TEST step,
There still error message,
" cudaGetDeviceCount failed no CUDA-capable device is detected"
I am most grateful if you give me an advice to treat it.
Yours sincerely,
Ikuo KURISAKI
Dear Amber developers and users,
I completed Amber12 for GUP, GTX680 with GNU complier, And move to TEST.
However, any test calculations did not work with Following message;
../../../bin/pmemd.cuda_SPFP: error while loading shared libraries:
libcurand.so.4: cannot open shared object file: No such file or directory
I geuss this is related with nvidia toolkit, I found "libcurand.so.4" in
$CUDA_HOME/bin/lib64..
I am most grateful if you let me know how to treat it.
Yours sincerely,
Ikuo KURISAKI
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Received on Thu Nov 29 2012 - 23:30:03 PST
