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CUDA-x86.

new compiler gives error
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amitamritkar



Joined: 02 Oct 2009
Posts: 11
PostPosted: Fri Feb 22, 2013 5:40 pm    Post subject: Reply with quote
Mat

I have uploaded the file (amitamritkar.tar) to the FTP site.

Thanks
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mkcolg



Joined: 30 Jun 2004
Posts: 4996
Location: The Portland Group Inc.
PostPosted: Fri Feb 22, 2013 5:44 pm    Post subject: Reply with quote
Ok, thanks. I've asked our web master to grab it for me, but it wont be till Monday before I'll be able to look at it.

- Mat
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mkcolg



Joined: 30 Jun 2004
Posts: 4996
Location: The Portland Group Inc.
PostPosted: Mon Feb 25, 2013 4:03 pm    Post subject: Reply with quote
Hi Amit,

I ran your exe on three different systems, the two Kepler systems, a GTX690 and K20, ran successfully:

Code:
 entering krylov in xmom
 entering krylov in xmom
 entering krylov in xmom
 entering krylov in xmom
 entering exchange_var in x-momemtum
 after momentum,u,v,w
 entering pressure
 exiting pressure
Warning: ieee_inexact is signaling
FORTRAN STOP


Though I see the failure on a Fermi M2090:

Code:
% mpirun -np 1 ./gpu.x
 entering alloc_fieldvar
 entering gpu alloc_
 entering gpu_data_transfer
 exiting gpu_data_transfer
 entering momentum
 entering diff_coeff
 come out of diff_coeff
 entering xmom
 enering diffuse in xmom
0: ALLOCATE: 1823360 bytes requested; not enough memory: 4(unspecified launch failure)


So at least we know it's not a driver issue but having to do with the compute capability of the binary.

What flags did you use compile the code?
What happens if you compile using Cuda 5.0 (i.e. -Mcuda=5.0)? Cuda 4.1 (i.e. -Mcuda=4.1)?

I'll ask around to see if anyone else has ideas.

- Mat
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amitamritkar



Joined: 02 Oct 2009
Posts: 11
PostPosted: Tue Feb 26, 2013 4:45 pm    Post subject: explicitly specify -Mcuda=5.0 for Tesla cards with 13.2 Reply with quote
Hi Mat,
Quote:

What flags did you use compile the code?
What happens if you compile using Cuda 5.0 (i.e. -Mcuda=5.0)? Cuda 4.1 (i.e. -Mcuda=4.1)?

My compiler flags were, -fast -Mr8 -Mcuda -Minfo=all -ta=nvidia,cc20
When I used the flag -Mcuda=5.0 there was no error and the code ran correctly.

So, I just have to explicitly specify -Mcuda=5.0 for Tesla cards.

Thanks for your help.
~Amit
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