(Not sure if this is more of an mpi4py or a pycuda issue at this point.)

I recently tried running a gist a wrote in the past [1] to test communication of
data stored in GPU memory with pycuda using mpi4py compiled against OpenMPI
1.8.* (which contains CUDA support). Using the latest revision (9a70e69)
compiled against OpenMPI 1.8.4 (which was in turn compiled against CUDA 6.5 on
Ubuntu 14.04.1) and installed in a Python 2.7.6 virtualenv along with pycuda
2014.1 (also manually compiled against CUDA 6.5), I was able to run the gist
without any problems. However, when I changed line 55 from

x_gpu = gpuarray.arange(100, 200, 10, dtype=np.double)

to 

x_gpu = gpuarray.to_gpu(np.arange(100, 200, 10, dtype=np.double))

the data transfer succeeded but was immediately followed by the following error:

[avicenna:32494] *** Process received signal ***
[avicenna:32494] Signal: Segmentation fault (11)
[avicenna:32494] Signal code: Address not mapped (1)
[avicenna:32494] Failing at address: (nil)
[avicenna:32494] [ 0] 
/lib/x86_64-linux-gnu/libpthread.so.0(+0x10340)[0x2ba2e8fe2340]
[avicenna:32494] [ 1] 
/usr/lib/x86_64-linux-gnu/libcuda.so.1(+0x1f60f5)[0x2ba2fd19b0f5]
[avicenna:32494] [ 2] 
/usr/lib/x86_64-linux-gnu/libcuda.so.1(+0x20470b)[0x2ba2fd1a970b]
[avicenna:32494] [ 3] 
/usr/lib/x86_64-linux-gnu/libcuda.so.1(+0x17ac02)[0x2ba2fd11fc02]
[avicenna:32494] [ 4] 
/usr/lib/x86_64-linux-gnu/libcuda.so.1(cuStreamDestroy_v2+0x52)[0x2ba2fd0eeb32]
[avicenna:32494] [ 5] 
/opt/openmpi-1.8.4/lib/libmpi.so.1(mca_common_cuda_fini+0x1c3)[0x2ba2f57718a3]
[avicenna:32494] [ 6] 
/opt/openmpi-1.8.4/lib/libmpi.so.1(+0xf5e3e)[0x2ba2f57aee3e]
[avicenna:32494] [ 7] 
/opt/openmpi-1.8.4/lib/libopen-pal.so.6(mca_base_component_close+0x19)[0x2ba2f6122099]
[avicenna:32494] [ 8] 
/opt/openmpi-1.8.4/lib/libopen-pal.so.6(mca_base_components_close+0x42)[0x2ba2f6122112]
[avicenna:32494] [ 9] 
/opt/openmpi-1.8.4/lib/libmpi.so.1(+0xd7515)[0x2ba2f5790515]
[avicenna:32494] [10] 
/opt/openmpi-1.8.4/lib/libopen-pal.so.6(mca_base_framework_close+0x63)[0x2ba2f612b3c3]
[avicenna:32494] [11] 
/opt/openmpi-1.8.4/lib/libopen-pal.so.6(mca_base_framework_close+0x63)[0x2ba2f612b3c3]
[avicenna:32494] [12] 
/opt/openmpi-1.8.4/lib/libmpi.so.1(ompi_mpi_finalize+0x56d)[0x2ba2f573693d]
[avicenna:32494] [13] 
/home/lev/Work/virtualenvs/PYTHON/lib/python2.7/site-packages/mpi4py/MPI.so(+0x2e694)[0x2ba2f53b2694]
[avicenna:32494] [14] python(Py_Finalize+0x1a6)[0x42fb0f]
[avicenna:32494] [15] python(Py_Main+0xbed)[0x46ac10]
[avicenna:32494] [16] 
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf5)[0x2ba2e9211ec5]
[avicenna:32494] [17] python[0x57497e]
[avicenna:32494] *** End of error message ***

I also tried replacing line 55 with

x_gpu = gpuarray.zeros(10, dtype=np.double)
x_gpu.set(np.arange(100, 200, 10, dtype=np.double))

which resulted in no error and

x_gpu = gpuarray.empty(10, dtype=np.double)
x_gpu.set(np.arange(100, 200, 10, dtype=np.double))

which resulted in the same error as mentioned earlier.

Any ideas as to what could be going on?

[1] https://gist.github.com/8514d3456a94a6c73e6d
-- 
Lev Givon
Bionet Group | Neurokernel Project
http://www.columbia.edu/~lev/
http://lebedov.github.io/
http://neurokernel.github.io/


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