Under is a dyadic operator in array programming languages that utilizes rank polymorphic function inverses. The BQN array language implements structural and computational cases of Under. In this work we showcase how the the lens properties of structural Under can be used to model parallel programming on GPUs. In particular, we showcase Under’s connectivity to static memory allocations in the context of GPUs, and how it may coincidentally promote programming approaches leveraging $n$-assignment register objects.