This example shows how to build a CUDA project that contains multiple archives.
CUDA Toolkit and Drivers.
Open a terminal and type:
sh run.shA typical output should look like this one.
Scanning dependencies of target CUDAproject
[ 66%] Building CXX object CMakeFiles/CUDAproject.dir/lib.cpp.o
[100%] Linking CXX executable CUDAproject
[100%] Built target CUDAproject
Device Number: 0
Device name: GeForce GTX TITAN X
Memory Clock Rate (KHz): 3505000
Memory Bus Width (bits): 384
Peak Memory Bandwidth (GB/s): 336.480000
[Vector addition of 500 elements]
Copy input data from the host memory to the CUDA device
CUDA kernel launch with 34 blocks of 15 threads
Copy output data from the CUDA device to the host memory
Test PASSED
Time GPU: 0.009000
Time CPU: 0.001000
Resources free from CUDA Device
Done