gadgetron/gadgetron — pull request #16 by hansenms (2014-12-22 21:07:14+00:00)
Title: 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