Control flow divergence occurs when different threads in a parallel computing environment take different execution paths, leading to inefficiencies due to idle threads waiting for others to complete. This is particularly problematic in architectures like GPUs, where threads are grouped into warps that execute in lockstep, causing performance degradation if threads within a warp diverge.