Overlapping communications with computations in distributed applications should increase their performances and allow to reach better scalability. This implies, by construction, communications are executed in parallel of computations. In this work, we explore the impact of computations on communication performances and vice-versa, with a focus on the role of memory contention. One main observation is that highly memory-bound computations can have a severe impact on network bandwidth.