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We present new results on the strong parallel scaling for theOpenACC-accelerated implementation of the high-order spectral element fluiddynamics solver Nek5000. The test case considered consists of a directnumerical simulation of fully-developed turbulent flow in a straight pipe, attwo different Reynolds numbers $Re_\tau=360$ and $Re_\tau=550$, based onfriction velocity and pipe radius. The strong scaling is tested on severalGPU-enabled HPC systems, including the Swiss Piz Daint system, TACC's Longhorn,J\"ulich's JUWELS Booster, and Berzelius in Sweden. The performance resultsshow that speed-up between 3-5 can be achieved using the GPU acceleratedversion compared with the CPU version on these different systems. The run-timefor 20 timesteps reduces from 43.5 to 13.2 seconds with increasing the numberof GPUs from 64 to 512 for $Re_\tau=550$ case on JUWELS Booster system. Thisillustrates the GPU accelerated version the potential for high throughput. Atthe same time, the strong scaling limit is significantly larger for GPUs, atabout $2000-5000$ elements per rank; compared to about $50-100$ for a CPU-rank.

Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems