OpenRadioss
OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark openradioss.
Project Site
openradioss.orgSource Repository
github.comTest Created
13 October 2022Last Updated
24 September 2023Test Maintainer
Michael LarabelTest Type
ProcessorAverage Install Time
8 SecondsAverage Run Time
7 Minutes, 25 SecondsTest Dependencies
OpenMPIAccolades
20k+ DownloadsSupported Platforms
Supported Architectures
** 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 8 November 2024.
Suites Using This Test
Performance Metrics
Analyze Test Configuration:OpenRadioss 2023.09.15
Model: Chrysler Neon 1M
OpenBenchmarking.org metrics for this test profile configuration based on 851 public results since 16 September 2023 with the latest data as of 1 November 2024.
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 (OpenRadioss 2023.09.15 - Model: Chrysler Neon 1M) has an average run-time of 36 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 0.3%.
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.
This test profile binary relies on the shared libraries libdl.so.2, librt.so.1, libmpi.so.40, libm.so.6, libgomp.so.1, libquadmath.so.0, libpthread.so.0, libc.so.6, libopen-rte.so.40, libopen-pal.so.40, libhwloc.so.15, 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.