Open GoogleCodeExporter opened 9 years ago
Same issue here.
Original comment by bag...@gmail.com
on 5 Oct 2014 at 12:29
I also have this problem
Original comment by sc2big...@gmail.com
on 7 Oct 2014 at 1:33
Ran into the same problem with no avail. All CUDA samples run fine, but
receive this error from pyrit's list_cores and selftest.
I am using Linux Mint 17 (Ubuntu 14.04 base) and complied both pyrit and cpyrit
from source, running 0.4.0
Original comment by erich...@gmail.com
on 24 Nov 2014 at 7:18
[deleted comment]
I had the same problem and fixed it by modifying setup.py and specifying the
correct gpu architecture for my graphics card. I had a GeForce GT 330 which is
compatible with compute 1.2, so in the call to nvcc you have to add an option
to specify gpu architecture:
nvcc_cmd = NVCC + bit_flag + ' --host-compilation C'\
' --gpu-architecture compute_12'\
' --verbose'\
' -Xcompiler "-fPIC" --ptx' \
' ./_cpyrit_cudakernel.cu'
otherwise it specifies compute_20 which is not supported by the card.
unfortunately this old card doesn't provide too much better speed, but at least
it works
Original comment by nice...@gmail.com
on 13 Dec 2014 at 6:36
Original issue reported on code.google.com by
francesc...@gmail.com
on 13 Sep 2014 at 9:06