GPAW

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.

Project Site

wiki.fysik.dtu.dk

Source Repository

gitlab.com

Test Created

19 September 2020

Last Updated

18 June 2023

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

1 Minute, 48 Seconds

Average Run Time

24 Minutes, 37 Seconds

Test Dependencies

OpenMPI + FFTW + CMake + C/C++ Compiler Toolchain + Python Numpy + Python + Python Scipy + BLAS (Basic Linear Algebra Sub-Routine)

Accolades

20k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsGPAW Popularity Statisticspts/gpaw2020.092020.102020.112020.122021.012021.022021.032021.042021.052021.062021.072021.082021.092021.102021.112021.122022.012022.022022.032022.042022.052022.062022.072022.082022.092022.102022.112022.122023.012023.022023.032023.042023.052023.062023.072023.082023.092023.102023.112023.122024.012024.022024.032024.0410002000300040005000
* 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.
*** Test profile page view reporting began March 2021.
Data updated weekly as of 13 April 2024.

Revision History

pts/gpaw-1.2.0   [View Source]   Sun, 18 Jun 2023 09:51:08 GMT
Update against latest GPAW upstream.

pts/gpaw-1.1.0   [View Source]   Tue, 18 Jan 2022 18:04:24 GMT
Update against GPAW 22.1 upstream.

pts/gpaw-1.0.0   [View Source]   Sat, 19 Sep 2020 09:25:55 GMT
Initial commit of GPAW>

Suites Using This Test

HPC - High Performance Computing

Scientific Computing

MPI Benchmarks

Quantum Mechanics


Performance Metrics

Analyze Test Configuration:

GPAW 23.6

Input: Carbon Nanotube

OpenBenchmarking.org metrics for this test profile configuration based on 172 public results since 18 June 2023 with the latest data as of 18 March 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.

Component
Percentile Rank
# Compatible Public Results
Seconds (Average)
Mid-Tier
75th
> 38
Median
50th
70
Low-Tier
25th
> 142
25th
4
143 +/- 1
19th
5
191 +/- 2
6th
4
516 +/- 13
4th
4
557 +/- 2
OpenBenchmarking.orgDistribution Of Public Results - Input: Carbon Nanotube172 Results Range From 19 To 7285 Seconds1916531145760374989510411187133314791625177119172063220923552501264727932939308532313377352336693815396141074253439945454691483749835129527554215567571358596005615162976443658967356881702771737319306090120150

Based on OpenBenchmarking.org data, the selected test / test configuration (GPAW 23.6 - Input: Carbon Nanotube) has an average run-time of 10 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.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkInput: Carbon NanotubeRun-Time4080120160200Min: 1 / Avg: 10.12 / Max: 207

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.4%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsInput: Carbon NanotubeDeviation246810Min: 0 / Avg: 0.36 / Max: 3

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.

Instruction Set
Support
Instructions Detected
SSE2 (SSE2)
Used by default on supported hardware.
 
MOVDQA MOVDQU PUNPCKLQDQ PADDQ CVTSS2SD UCOMISD CVTSD2SS MOVD CVTSI2SD ADDSD MULSD XORPD COMISD DIVSD SUBSD CVTTSD2SI MOVAPD SHUFPD ANDPD UNPCKLPD MULPD UNPCKHPD SUBPD ADDPD PUNPCKHQDQ PSUBQ PSHUFD PSRLDQ ORPD SQRTSD ANDNPD CMPNLESD MINSD MAXSD MOVMSKPD MOVUPD CMPLTSD DIVPD
Last automated analysis: 24 June 2023

This test profile binary relies on the shared libraries libm.so.6, libexpat.so.1, libz.so.1, libc.so.6.

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.

CPU Architecture
Kernel Identifier
Verified On
Intel / AMD x86 64-bit
x86_64
(Many Processors)
ARMv8 64-bit
aarch64
ARMv8 Neoverse-N1, ARMv8 Neoverse-N1 128-Core, ARMv8 Neoverse-V1

Recent Test Results

OpenBenchmarking.org Results Compare

4 Systems - 125 Benchmark Results

2 x INTEL XEON PLATINUM 8592+ - Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS - Intel Device 1bce

Fedora Linux 39 - 6.7.6-200.fc39.x86_64 - GCC 13.2.1 20231205

3 Systems - 125 Benchmark Results

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

1 System - 125 Benchmark Results

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

1 System - 403 Benchmark Results

AMD EPYC 7601 32-Core - TYAN B8026T70AE24HR - AMD 17h

Ubuntu 23.10 - 6.6.9-060609-generic - GNOME Shell 45.0

1 System - 390 Benchmark Results

AMD EPYC 7601 32-Core - TYAN B8026T70AE24HR - AMD 17h

Ubuntu 23.10 - 6.6.9-060609-generic - GNOME Shell 45.0

1 System - 486 Benchmark Results

Intel Core i3-12100 - MSI MAG B660M MORTAR DDR4 - Intel Alder Lake-S PCH

Arch Linux - 6.1.66-1-lts - GCC 13.2.1 20230801 + Clang 16.0.6

1 System - 566 Benchmark Results

ARMv8 Cortex-A72 - BCM2835 Raspberry Pi 4 Model B Rev 1.5 - Broadcom BCM2711

Arch Linux ARM - 6.1.58-2-rpi-ARCH - GCC 12.1.0 + Clang 16.0.6

1 System - 621 Benchmark Results

AMD Ryzen 7 PRO 4750G - LENOVO 318E - AMD Renoir

Arch Linux - 6.1.59-1-lts - GCC 13.2.1 20230801 + Clang 16.0.6

2 Systems - 358 Benchmark Results

AMD Ryzen 9 3900XT 12-Core - MSI MEG X570 GODLIKE - AMD Starship

Ubuntu 22.04 - 6.2.0-35-generic - GNOME Shell 42.2

1 System - 650 Benchmark Results

1 System - 591 Benchmark Results

Intel Core i7-4790 - ASUS H97M-PLUS - Intel 4th Gen Core DRAM

Arch Linux - 6.1.57-1-lts - GCC 13.2.1 20230801 + Clang 16.0.6

1 System - 598 Benchmark Results

Intel Core i7-4770 - Mouse H87M-S01 v1.0 - Intel 4th Gen Core DRAM

Arch Linux - 6.1.55-1-lts - GCC 13.2.1 20230801 + Clang 16.0.6

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