Gadgetron info

Gadgetron info has been updated to include system information. On a linux system with GPU support it might look like:

hansenms@grenada:~/mrprogs/gadgetron/build$ gadgetron_info 
Gadgetron Version Info
  -- Version            : 3.1.0
  -- Git SHA1           : 9f8ea2523cd0a39d030f885f50d24cfad4fd62f8
  -- System Memory size : 128908 MB
  -- Python Support     : YES
  -- CUDA Support       : YES ( -gencode arch=compute_30,code=sm_30  -gencode arch=compute_30,code=sm_30  -gencode arch=compute_30,code=sm_30  -gencode arch=compute_30,code=sm_30 )
    * Number of CUDA capable devices: 4
      - Device 0: Tesla K10.G2.8GB
         + CUDA Driver Version / Runtime Version: 6.0/5.5
         + CUDA Capability Major/Minor version number: 3.0
         + Total amount of global GPU memory: 3583.56 MB
      - Device 1: Tesla K10.G2.8GB
         + CUDA Driver Version / Runtime Version: 6.0/5.5
         + CUDA Capability Major/Minor version number: 3.0
         + Total amount of global GPU memory: 3583.56 MB
      - Device 2: Tesla K10.G1.8GB
         + CUDA Driver Version / Runtime Version: 6.0/5.5
         + CUDA Capability Major/Minor version number: 3.0
         + Total amount of global GPU memory: 3583.56 MB
      - Device 3: Tesla K10.G1.8GB
         + CUDA Driver Version / Runtime Version: 6.0/5.5
         + CUDA Capability Major/Minor version number: 3.0
         + Total amount of global GPU memory: 3583.56 MB

On a mac (without GPU support), it might look like:

LCE-ML01872441:build hansenms$ gadgetron_info 
Gadgetron Version Info
  -- Version            : 3.1.0
  -- Git SHA1           : 9f8ea2523cd0a39d030f885f50d24cfad4fd62f8
  -- System Memory size : 8192 MB
  -- Python Support     : YES
  -- CUDA Support       : NO