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, V0.2.1221Driver : 8.0 Runtime : 8.0Acquiring 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/Linuxrecon-all -s DEP030 exited with ERRORS at 2016. 11. 18. (금) 07:54:00 KSTFor 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)