Abstract
The present study deals with the kinetic Vlasov simulation code as a high-performance application, which solves the first-principle kinetic equations known as the Vlasov equation. A five-dimensional Vlasov code with two spatial dimension and three velocity dimensions is parallelized with the MPI-OpenMP hybrid parallelism. The performance of the parallel Vlasov code is measured on a single compute node with a Xeon Phi Knights Landing (KNL) processor and on a single compute node with two Xeon Broadwell processors. It is shown that the use of Multi-Channel Dynamic Random Access Memory (MCDRAM) as the “cache” mode gives higher performances than the “flat” mode when the size of a computing job is larger than the size of MCDRAM. On the other hand, the use of MCDRAM as the “flat” mode gives higher performances than the “cache” mode for small-size jobs, when the NUMA (Non-Uniform Memory Access) policy is controlled appropriately. It is also shown that there is not a substantial difference in the performance among the cluster modes. The performance of our Vlasov code is best with the “Quadrant” cluster mode and worst with the “SNC-4” cluster mode.
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Umeda, T., Fukazawa, K. (2018). Performance Comparison of Eulerian Kinetic Vlasov Code Between Xeon Phi KNL and Xeon Broadwell. In: Li, L., Hasegawa, K., Tanaka, S. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2018. Communications in Computer and Information Science, vol 946. Springer, Singapore. https://doi.org/10.1007/978-981-13-2853-4_12
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DOI: https://doi.org/10.1007/978-981-13-2853-4_12
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