nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming on smaller systems.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark nekrs.
* Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly. ** Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform. Data updated weekly as of 22 December 2024.
Revision History
pts/nekrs-1.1.0 [View Source] Sun, 04 Jun 2023 20:11:43 GMT Update against nekRS 23 upstream.
OpenBenchmarking.org metrics for this test profile configuration based on 245 public results since 4 June 2023 with the latest data as of 30 October 2023.
Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.
Based on OpenBenchmarking.org data, the selected test / test configuration (nekRS 23.0 - Input: Kershaw) has an average run-time of 12 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.
Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.1%.
Does It Scale Well With Increasing Cores?
Yes, based on the automated analysis of the collected public benchmark data, this test / test settings does generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.
Notable Instruction Set Usage
Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.
Requires passing a supported compiler/build flag (verified with targets: cascadelake, sapphirerapids).
(ZMM REGISTER USE)
The test / benchmark does honor compiler flag changes.
Last automated analysis: 24 June 2023
This test profile binary relies on the shared libraries libnekrs.so, libmpi.so.40, libm.so.6, libc.so.6, libnekrs-hypre.so, libnekrs-hypre-device.so, libocca.so, libgomp.so.1, libgfortran.so.5, libopen-pal.so.40, libopen-rte.so.40, libhwloc.so.15, libquadmath.so.0, libz.so.1, libudev.so.1.
Tested CPU Architectures
This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.
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