Dear Freesurfer + CUDA users,

 

 

I am trying to run cuda-enabled recon-all procedure.

My system is Ubuntu 14.04, NVIDIA M4000, with freesurfer stable beta 20161028 + CUDA 8.0 driver.

 

 

I get the error message like below.

 

$ recon-all -all -s DEP030 -use-gpu
Testing for CUDA device:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2012 NVIDIA Corporation
Built on Fri_Sep_21_17:28:58_PDT_2012
Cuda compilation tools, release 5.0, V0.2.1221

Driver : 8.0
Runtime : 8.0

Acquiring CUDA device
Using default device
CUDA device: Quadro M4000
Segmentation fault (core dumped) 
Linux DTI 3.13.0-101-generic #148-Ubuntu SMP Thu Oct 20 22:08:32 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux

recon-all -s DEP030 exited with ERRORS at 2016. 11. 18. (금) 07:54:00 KST

For more details, see the log file 
To report a problem, see http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting

 

the detectcuda command seems can get M4000 properly.

Detecting CUDA... There are 0 devices supporting CUDA:

Device 0: "Quadro M4000"
  CUDA Driver Version:                           8.0
  CUDA Runtime Version:                          8.0
  CUDA Capability Major revision number:         5
  CUDA Capability Minor revision number:         2
  Total amount of global memory:                 4219863040 bytes
  Number of multiprocessors:                     13
  Number of cores:                               572
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per block:           1024
  Maximum sizes of each dimension of a block:    1024 x 1024 x 64
  Maximum sizes of each dimension of a grid:     2147483647 x 65535 x 65535
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Clock rate:                                    0.77 GHz
  Concurrent copy and execution:                 Yes
  Run time limit on kernels:                     Yes
  Integrated:                                    No
  Support host page-locked memory mapping:       Yes
  Compute mode:                                  Default (multiple host threads can use this device simultaneously)