Graf, JonathanGobbert, Matthias K.2018-09-252018-09-252014http://hdl.handle.net/11603/11380We report parallel performance studies on the newest portion of the cluster maya in the UMBC High Performance Computing Facility (HPCF), referred to as maya 2013, for a parabolic test problem given by a time-dependent, scalar, linear reaction-diffusion equation in three dimensions. The results show very good performance up to 64 compute nodes 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.7 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.UMBC High Performance Computing Facility (HPCF)parallel performance studyparabolic test problemtime-dependent, scalar, linear reaction-diffusion equation in three dimensionsParallel Performance Studies for a Parabolic Test Problem on maya 2013Text