Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark incompact3d.

Project Site

github.com

Test Created

17 September 2020

Last Updated

18 March 2021

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

1 Minute, 3 Seconds

Average Run Time

27 Minutes, 47 Seconds

Test Dependencies

Fortran + OpenMPI + FFTW + C/C++ Compiler Toolchain

Accolades

10k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsXcompact3d Incompact3d Popularity Statisticspts/incompact3d2020.092020.102020.112020.122021.012021.022021.032021.042021.052021.062021.072021.082021.092021.102021.112021.122022.012022.022022.032022.042022.052022.062022.072022.082022.092022.102022.112022.122023.012023.022023.032023.042023.052023.062023.072023.082023.092023.102023.112023.122024.012024.022024.032024.042K4K6K8K10K
* 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 21 April 2024.
input.i3d 129 Cells Per Direction36.9%input.i3d 193 Cells Per Direction38.4%X3D-benchmarking input.i3d24.7%Input Option PopularityOpenBenchmarking.org

Revision History

pts/incompact3d-2.0.2   [View Source]   Thu, 18 Mar 2021 05:40:41 GMT
Use 193 option rather than 192.

pts/incompact3d-2.0.1   [View Source]   Wed, 17 Mar 2021 09:22:38 GMT
Add a 192 cell per direction option for HEDT systems.

pts/incompact3d-2.0.0   [View Source]   Wed, 17 Mar 2021 08:12:12 GMT
Update against Xcompact3D/Incompact3D from GitHub, use X3D-benchmarking input, add lower 129 cell option too. Per https://github.com/phoronix-test-suite/phoronix-test-suite/issues/512

pts/incompact3d-1.0.0   [View Source]   Thu, 17 Sep 2020 16:44:55 GMT
Add Incompact3D xcompact3d solver benchmark.

Suites Using This Test

HPC - High Performance Computing

Molecular Dynamics

Scientific Computing

MPI Benchmarks


Performance Metrics

Analyze Test Configuration:

Xcompact3d Incompact3d 2021-03-11

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.org metrics for this test profile configuration based on 1,496 public results since 17 March 2021 with the latest data as of 24 April 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
> 4
55th
19
11 +/- 1
Median
50th
15
33rd
4
25 +/- 4
28th
3
33 +/- 1
Low-Tier
25th
> 34
16th
10
42 +/- 4
16th
3
42 +/- 1
13th
12
46 +/- 2
13th
5
46 +/- 1
13th
9
46 +/- 1
12th
3
47 +/- 1
11th
5
47 +/- 1
10th
3
51 +/- 3
10th
7
52 +/- 1
8th
8
58 +/- 4
7th
5
59 +/- 1
6th
9
62 +/- 1
5th
3
65 +/- 2
1st
3
133 +/- 8
OpenBenchmarking.orgDistribution Of Public Results - Input: input.i3d 129 Cells Per Direction1495 Results Range From 1 To 462 Seconds1224364851061271481691902112322532742953163373583794004214424632004006008001000

Based on OpenBenchmarking.org data, the selected test / test configuration (Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 129 Cells Per Direction) has an average run-time of 2 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: input.i3d 129 Cells Per DirectionRun-Time714212835Min: 1 / Avg: 2.15 / Max: 32

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.6%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsInput: input.i3d 129 Cells Per DirectionDeviation246810Min: 0 / Avg: 0.64 / Max: 5

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.
 
CVTSI2SD MULSD ADDSD COMISD SUBSD DIVSD MOVAPD XORPD CVTTSD2SI ANDPD UCOMISD MINSD MOVDQU MAXSD SQRTSD CVTSD2SS CVTSS2SD CMPLESD ANDNPD ORPD MOVDQA
Last automated analysis: 17 January 2022

This test profile binary relies on the shared libraries libgfortran.so.5, libm.so.6, libc.so.6, libmpi.so.40, libopen-pal.so.40, libquadmath.so.0, libopen-rte.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.

CPU Architecture
Kernel Identifier
Verified On
Intel / AMD x86 64-bit
x86_64
(Many Processors)
IBM POWER (PowerPC) 64-bit
ppc64le
POWER9
Loongson LoongArch 64-bit
loongarch64
Loongson-3A6000
ARMv8 64-bit
aarch64
ARMv8 Cortex-A72, ARMv8 Cortex-A72 4-Core, ARMv8 Neoverse-N1, ARMv8 Neoverse-N1 128-Core, ARMv8 Neoverse-N1 32-Core, ARMv8 Neoverse-N1 64-Core, ARMv8 Neoverse-N1 80-Core, ARMv8 Neoverse-V1, ARMv8 Neoverse-V2 72-Core, Ampere ARMv8 Neoverse-N1 128-Core, Ampere ARMv8 Neoverse-N1 160-Core, Ampere ARMv8 Neoverse-N1 256-Core, Ampere Altra ARMv8 Neoverse-N1 160-Core, Ampere Altra ARMv8 Neoverse-N1 80-Core, Ampere eMAG ARMv8 32-Core, Apple M1

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