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Table 5 Computational aspects

From: DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains

Model Nodes Cores SDPD Δ t Processor (date of launch into market)
ARPEGE-NH 300 7200 2.6 100 s Intel Xeon “Ivy Bridge” (2013)
FV3 384 13,824 19 4.5 s Intel Xeon “Broadwell” (2016)
GEOS 512 20,480 6.2 3.75 s Intel Xeon “Skylake” (2017)
ICON 540 12,960 6.1 4.5 s Intel Xeon “Haswell” (2014)
IFS 360 12,960 124 240 s Intel Xeon “Broadwell” (2016)
MPAS 256 9216 3.5 10 s Intel Xeon “Broadwell” (2016)
NICAM 640 2560 2.6 10 s NEX SX-ACE vector processor (2015)
SAM 128 4608 6.0 7.5 s Intel Xeon “Broadwell” (2016)
UM 340 12,240 6.0 90.0 s Intel Xeon “Broadwell” (2016)
  1. To give a rough idea of the performance of the different models, their throughput is given and contextualized by some basic information about architectures on which they were run. Columns indicate the number of nodes, the total number of cores on which the simulations were run, the simulated days per day, the shortest (usually acoustic) timestep (Δt), and the type of processor