The document discusses different approaches to implementing GPU-like programming on CPUs using C++AMP. It covers using setjmp/longjmp to implement coroutines for "fake threading", using ucontext for coroutine context switching, and how to pass lambda functions and non-integer arguments to makecontext. Implementing barriers on CPUs requires synchronizing threads with an atomic counter instead of GPU shared memory. Overall, the document shows it is possible to run GPU-like programming models on CPUs by simulating the GPU programming model using language features for coroutines and threading.