Coupled clusters usually exhibit a heterogeneous but also hierarchical structure in terms of communication and computation. Therefore, it is inevitable to adapt parallel applications to such systems in order to gain reasonable performance results. Moreover, also regular benchmark tools are not capable of exposing the latent potential of such coupled cluster systems. Though without adapted (or better self-adapting) benchmark tools for such systems, it is almost not possible to forecast the

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... ility of welladapted applications and one is not able to compare the possibly achievable performance in an application independent manner. In this paper we present such a fair, selfadapting and meaningful benchmark tool for heterogeneous coupled cluster systems, following the MPI standard.