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This example shows how to link a Thrust program contained in a .cu file with a C++ program contained in a .cpp file. Note that device_vector only appears in the .cu file while host_vector appears in both. This relects the fact that algorithms on device vectors are only available when the contents of the program are located in a .cu file and compiled with the nvcc compiler. On a Linux system where Thrust is installed in the default location we can use the following procedure to compile the two parts of the program and link them together. $ nvcc -O2 -c device.cu $ g++ -O2 -c host.cpp -I/usr/local/cuda/include/ $ nvcc -o tester device.o host.o Alternatively, we can use g++ to perform final linking step. $ nvcc -O2 -c device.cu $ g++ -O2 -c host.cpp -I/usr/local/cuda/include/ $ g++ -o tester device.o host.o -L/usr/local/cuda/lib64 -lcudart