  In modern heterogeneous architectures, the access to data that the
application needs is a key factor, in order to make the compute task efficient,
in terms of power dissipation and execution time. The new generation SoCs are
equipped with large LLCs, in order to make data access as efficient as
possible. However, these systems introduce a new level of complexity in terms
of the system's predictability, because concurrent tasks must compete for the
same resource and contribute to generating interference between them. This
paper aims to provide a preliminary qualitative analysis in terms of
interference degree that is generated when several concurrent streams are in
execution, for example one that performs useful computing tasks and one that
generates interference. Specifically, we tested two important primitives: vadd
and gemm, respectively subjected to interference with: i) a concurrent kernel
that performs read from shared memory. ii) concurrent stream that performs
host-to-device memory copy.
