The company Numascale is one of the few companies offering shared memory systems with thousands of cores. To produce machines of such a size, a proprietary cache-coherent interconnect is used to couple standard servers into a large single system. In this work we investigate the ability of such a huge system to run OpenMP applications in an efficient way. Therefore, we use kernel benchmarks to investigate basic performance characteristics of the machine and we present a real world application from the Institute of Combustion Technology at RWTH Aachen University, called TrajSearch, which has been optimized to run efficient on such a large shared memory machine.
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