tadd information on automatically chosen device - sphere - GPU-based 3D discrete element method algorithm with optional fluid coupling
 (HTM) git clone git://src.adamsgaard.dk/sphere
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       ---
 (DIR) commit af88cc3aca4957e76bb71e3d08d51cd5c173e74d
 (DIR) parent b1524662d66a4c90fb6a539b4da4fee656403cb0
 (HTM) Author: Anders Damsgaard <anders.damsgaard@geo.au.dk>
       Date:   Mon, 28 Jul 2014 11:25:20 +0200
       
       add information on automatically chosen device
       
       Diffstat:
         M python/permeability.sh              |       4 ++--
         M src/device.cu                       |       5 +++++
       
       2 files changed, 7 insertions(+), 2 deletions(-)
       ---
 (DIR) diff --git a/python/permeability.sh b/python/permeability.sh
       t@@ -39,8 +39,8 @@ nvidia-smi
        rm CMakeCache.txt
        cmake . && make && make test
        cd python
       -python permeability1.py &
       -python permeability2.py &
       +#python permeability1.py &
       +#python permeability2.py &
        python permeability3.py &
        wait
        
 (DIR) diff --git a/src/device.cu b/src/device.cu
       t@@ -110,6 +110,11 @@ __host__ void DEM::initializeGPU(void)
                }
        
                device = cudadevice; // store in DEM class
       +        if (verbose == 1) {
       +            cout << "  Using CUDA device ID " << device << " with "
       +                 << max_ncudacores << " cores." << std::endl;
       +        }
       +
            } else {
        
                cudaGetDeviceProperties(&prop, device);