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, 5 Seconds

Average Run Time

32 Minutes, 17 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/incompact3d2020.092020.102020.112020.122021.012021.022021.032021.042021.052021.062021.072021.082021.092021.102021.112021.122022.012022.022022.032022.042022.052022.062022.072022.082022.099001800270036004500
* 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 current as of 26 September 2022.
input.i3d 129 Cells Per Direction36.8%input.i3d 192 Cells Per Direction5.2%input.i3d 193 Cells Per Direction36.8%X3D-benchmarking input.i3d21.2%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

Molecular Dynamics

HPC - High Performance Computing

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 933 public results since 17 March 2021 with the latest data as of 26 September 2022.

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)
2 x AMD EPYC 7773X 64-Core
97th
37
2
2 x AMD EPYC 7573X 32-Core
95th
6
3
2 x Intel Xeon Platinum 8380
93rd
25
3
2 x AMD EPYC 7763 64-Core
92nd
26
3
2 x AMD EPYC 7713 64-Core
90th
20
3
2 x AMD EPYC 7742 64-Core
87th
4
3
2 x AMD EPYC 7543 32-Core
86th
4
3
2 x AMD EPYC 75F3 32-Core
84th
21
4
2 x AMD EPYC 74F3 24-Core
84th
7
4
2 x AMD EPYC 7443 24-Core
82nd
3
4
2 x AMD EPYC 7373X 16-Core
80th
9
4
2 x AMD EPYC 7453 28-Core
80th
5
4
AMD EPYC 7773X 64-Core
79th
19
5
Mid-Tier
75th
> 5
AMD EPYC 7573X 32-Core
74th
6
5
2 x AMD EPYC 7343 16-Core
74th
5
5
AMD EPYC 7763 64-Core
73rd
30
5
AMD EPYC 7713 64-Core
70th
10
6 +/- 1
Intel Xeon Platinum 8380
70th
17
6 +/- 1
AMD EPYC 7702 64-Core
70th
3
6
AMD EPYC 7543 32-Core
68th
6
6
AMD EPYC 74F3 24-Core
66th
11
6
AMD EPYC 75F3 32-Core
66th
13
6 +/- 1
AMD EPYC 7742 64-Core
65th
9
7
2 x Intel Xeon Gold 5220R
63rd
4
7
AMD EPYC 7453 28-Core
62nd
5
8
AMD EPYC 7373X 16-Core
62nd
7
8 +/- 1
AMD EPYC 7F52 16-Core
61st
4
9
AMD Ryzen Threadripper 3990X 64-Core
60th
9
9
Intel Xeon Platinum 8280
58th
10
10 +/- 1
AMD Ryzen Threadripper 3970X 32-Core
58th
11
10
AMD Ryzen Threadripper 3960X 24-Core
56th
5
13
Intel Xeon Gold 6226R
55th
3
14
Intel Core i9-12900K
55th
8
14
AMD Ryzen 9 7950X 16-Core
53rd
5
15
AMD Ryzen 9 7900X 12-Core
53rd
5
15
Ampere eMAG ARMv8 32-Core
52nd
4
15
Intel Xeon Silver 4216
52nd
3
17
AMD Ryzen Threadripper 2990WX 32-Core
51st
9
17 +/- 1
Median
50th
18
Intel Core i9-7980XE
50th
3
18
AMD Ryzen Threadripper 2970WX 24-Core
50th
5
19 +/- 1
AMD EPYC 7551 32-Core
50th
6
19
AMD Ryzen Threadripper 2950X 16-Core
48th
9
20
AMD EPYC 7F32 8-Core
47th
9
21 +/- 3
Intel Core i9-10980XE
47th
9
21
Intel Core i5-12400
45th
3
26
AMD Ryzen 7 5800X3D 8-Core
44th
12
27
Intel Xeon E5-2687W v3
42nd
3
32
AMD Ryzen 9 5900X 12-Core
40th
18
33 +/- 2
AMD Ryzen 9 3900X 12-Core
40th
8
33
AMD Ryzen 9 3900XT 12-Core
39th
3
33
Apple M1
38th
3
33 +/- 1
AMD Ryzen 9 5950X 16-Core
38th
30
34 +/- 2
AMD Ryzen 9 3950X 16-Core
37th
5
34 +/- 1
Intel Core i9-11900K
37th
9
34
Intel Core i9-9900KS
35th
3
34
AMD Ryzen 5 5600X 6-Core
31st
9
37 +/- 2
AMD Ryzen 7 5800X 8-Core
31st
21
38 +/- 1
Intel Core i9-9900K
30th
3
38
Intel Core i7-5960X
29th
3
39
AMD Ryzen 5 3600XT 6-Core
28th
3
40
AMD Ryzen 7 3800XT 8-Core
28th
4
40
Intel Core i5-10600K
28th
6
40 +/- 3
AMD Ryzen 7 3700X 8-Core
27th
6
40
Intel Core i9-10900K
27th
7
41 +/- 1
Low-Tier
25th
> 41
Intel Xeon E-2288G
25th
4
42
Intel Core i7-1065G7
25th
7
42 +/- 2
Intel Core i7-1165G7
25th
11
42
Intel Core i7-8086K
24th
3
42
Intel Xeon E5-2609 v4
23rd
3
42
Intel Core i7-6800K
23rd
3
42 +/- 1
Intel Core i7-10700T
22nd
9
43 +/- 1
Intel Core i7-8700K
22nd
3
43
Intel Core i5-8400
22nd
3
44
AMD Ryzen 7 2700 Eight-Core
21st
3
44
AMD Ryzen 7 1700 Eight-Core
19th
3
46 +/- 1
AMD Ryzen 7 5700G
19th
12
46 +/- 2
Intel Core i7-5775C
19th
5
46 +/- 1
Intel Core i7-9750H
19th
9
46 +/- 1
AMD Ryzen 5 5600G
19th
5
46 +/- 2
Intel Xeon E-2278G
18th
3
47 +/- 1
Intel Core i7-7700K
18th
3
47
Intel Core i7-7740K
17th
3
47
AMD Ryzen 3 3300X 4-Core
16th
6
50 +/- 1
Intel Core i5-9400F
15th
7
52 +/- 1
AMD Ryzen 3 1300X
14th
3
53
Intel Xeon E3-1275 v6
14th
4
53
Intel Core i3-8100
13th
3
54
AMD Ryzen 5 3400G
13th
3
55
Intel Core i3-10100
12th
4
57
AMD Ryzen 3 2200G
12th
8
58 +/- 4
Intel Xeon E3-1245 v5
12th
6
58
AMD Ryzen 5 2400G
11th
5
59 +/- 1
Intel Xeon E3-1280 v5
10th
3
60
Intel Core i5-6500
10th
3
60
Intel Xeon E3-1260L v5
9th
3
62
AMD Ryzen 5 4500U
9th
9
62 +/- 1
AMD Ryzen 7 4700U
8th
3
65 +/- 2
Intel Xeon E3-1235L v5
8th
4
67
Intel Xeon E3-1231 v3
7th
3
68
Intel Xeon E3-1270 v5
7th
6
70 +/- 1
Intel Core i3-7100
6th
3
72
Intel Core i7-8565U
6th
8
72 +/- 1
Intel Core i7-8550U
5th
4
76
Intel Core i5-4670
4th
3
79
Intel Core i7-4770K
4th
6
82 +/- 1
Intel Core i7-4960X
4th
3
84 +/- 1
Intel Core i5-7600K
3rd
3
95
Intel Core i7-5600U
2nd
6
99
AMD FX-8150 Eight-Core
2nd
3
115 +/- 2
Intel Core i7-3770K
1st
3
131
AMD Ryzen 3 3200U
1st
3
133 +/- 8
Intel Core i3-4130
1st
3
150
ARMv8 Cortex-A72 4-Core
1st
3
385 +/- 7
OpenBenchmarking.orgDistribution Of Public Results - Input: input.i3d 129 Cells Per Direction925 Results Range From 2 To 391 Seconds222426282102122142162182202222242262282302322342362382402110220330440550

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 3 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: 2.65 / 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: 0.58 / Max: 5

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.

AMDIntelOpenBenchmarking.orgRelative Core Scaling To BaseXcompact3d Incompact3d CPU Core ScalingInput: input.i3d 129 Cells Per Direction4681216243264128918273645

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
ARMv8 64-bit
aarch64
ARMv8 Cortex-A72, ARMv8 Cortex-A72 4-Core, ARMv8 Neoverse-N1, ARMv8 Neoverse-N1 32-Core, ARMv8 Neoverse-N1 64-Core, ARMv8 Neoverse-N1 80-Core, ARMv8 Neoverse-V1, 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

Recent Test Results

OpenBenchmarking.org Results Compare

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5 Systems - 105 Benchmark Results

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Clear Linux OS 37000 - 5.15.0-47-generic - X Server

2 Systems - 705 Benchmark Results

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14 Systems - 106 Benchmark Results

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openSUSE Tumbleweed 20220507 - 5.17.4-1-default - GCC 11.2.1 20220420 [revision 691af15031e00227ba6d5935c1d737026cda4129]

11 Systems - 106 Benchmark Results

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openSUSE Tumbleweed 20220507 - 5.17.4-1-default - GCC 11.2.1 20220420 [revision 691af15031e00227ba6d5935c1d737026cda4129]

11 Systems - 106 Benchmark Results

2 x Intel Xeon Platinum 8380 - Intel M50CYP2SB2U - Intel Device 0998

openSUSE Tumbleweed 20220507 - 5.17.4-1-default - GCC 11.2.1 20220420 [revision 691af15031e00227ba6d5935c1d737026cda4129]

11 Systems - 106 Benchmark Results

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CentOS Stream 9 - 5.14.0-85.el9.x86_64 - GNOME Shell 40.10

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