Parallel Performance Studies for a Parabolic Test Problem on the Cluster maya

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We report parallel performance studies on each of the three uniform portions, from 2009, 2010, and 2013, of the cluster maya in the UMBC High Performance Computing Facility (HPCF) for a parabolic test problem given by a time-dependent, scalar, linear reaction-di usion equation in three dimensions. The results show very good performance up to 64 compute nodes on all portions and support several key conclusions: (i) The newer nodes are faster per core as well as per node, however, for most serial production code using one of the 2010 nodes with 2.8 GHz is a good default. (ii) The high-performance interconnect supports parallel scalability on at least 64 nodes near-optimally. (iii) It is often faster to use all cores on modern multi-core nodes but it is useful to track memory usage to determine if this is the case for memory-bound code.