We will now look at the CUDA Thrust Library. This library's central feature is a high-level vector container that is similar C++'s own vector container. While this may sound trivial, this will allow us to program in CUDA C with less reliance on pointers, mallocs, and frees. Like the C++ vector container, Thrust's vector container handles the resizing and concatenation of elements automatically, and with the magic of C++ destructors, freeing is also handled automatically when a Thrust vector object goes out of scope.
Thrust actually provides two vector containers: one for the host-side, and one for the device-side. The host-side Thrust vector is more or less identical to the STL vector, with the main difference being that it can interact more easily with the GPU. Let's write a little bit of code in proper CUDA C to get a feel for how...
