GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE).
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark gpaw.
OpenBenchmarking.org metrics for this test profile configuration based on 297 public results since 18 June 2023 with the latest data as of 23 June 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 (GPAW 23.6 - Input: Carbon Nanotube) has an average run-time of 8 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 0.5%.
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 libm.so.6, libexpat.so.1, libz.so.1, libc.so.6.
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.
2 Systems - 1012 Benchmark Results |
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1 System - 1012 Benchmark Results
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22 Systems - 263 Benchmark Results
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AMD EPYC 8534PN 64-Core - AMD Cinnabar - AMD Device 14a4 Ubuntu 24.04 - 6.9.0-060900rc3-generic - GCC 13.2.0
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6 Systems - 87 Benchmark Results
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AMD EPYC 7R13 - Amazon EC2 c6a.16xlarge - Intel 440FX 82441FX PMC Ubuntu 22.04 - 5.19.0-1025-aws - 1.3.238
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1 System - 1 Benchmark Result
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2 x AMD EPYC 7742 64-Core - Supermicro H12DSI-NT6 v1.02 - AMD Starship Ubuntu 20.04 - 5.4.0-91-generic - GNOME Shell 3.36.9
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4 Systems - 125 Benchmark Results
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2 x INTEL XEON PLATINUM 8592+ - Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS - Intel Device 1bce CentOS Stream 9 - 5.14.0-419.el9.x86_64 - GNOME Shell 40.10
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3 Systems - 125 Benchmark Results
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2 x INTEL XEON PLATINUM 8592+ - Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS - Intel Device 1bce Ubuntu 23.10 - 6.5.0-17-generic - GCC 13.2.0
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1 System - 125 Benchmark Results
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2 x INTEL XEON PLATINUM 8592+ - Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS - Intel Device 1bce Ubuntu 23.10 - 6.5.0-17-generic - GCC 13.2.0
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1 System - 403 Benchmark Results
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AMD EPYC 7601 32-Core - TYAN B8026T70AE24HR - AMD 17h Ubuntu 23.10 - 6.6.9-060609-generic - GNOME Shell 45.0
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1 System - 390 Benchmark Results
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AMD EPYC 7601 32-Core - TYAN B8026T70AE24HR - AMD 17h Ubuntu 23.10 - 6.6.9-060609-generic - GNOME Shell 45.0 |