miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes.

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

Project Site

github.com

Test Created

19 October 2019

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

9 Seconds

Average Run Time

5 Minutes, 48 Seconds

Test Dependencies

C/C++ Compiler Toolchain + OpenMPI

Accolades

5k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsminiFE Popularity Statisticspts/minife2019.102019.112019.122020.012020.022020.032020.042020.052020.062020.072020.082020.092020.102020.112020.122021.012021.022021.032021.042021.052021.062021.072021.082021.092021.102004006008001000
* 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 25 October 2021.

Revision History

pts/minife-1.0.0   [View Source]   Sat, 19 Oct 2019 19:57:33 GMT
Initial commit of miniFE finite element benchmark.

Suites Using This Test

Molecular Dynamics

Scientific Computing

HPC - High Performance Computing

MPI Benchmarks


Performance Metrics

Analyze Test Configuration:

miniFE 2.2

Problem Size: Small

OpenBenchmarking.org metrics for this test profile configuration based on 574 public results since 19 October 2019 with the latest data as of 11 October 2021.

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
CG Mflops (Average)
100th
3
28759 +/- 310
100th
5
28154 +/- 338
99th
5
26366 +/- 593
98th
4
25503 +/- 232
96th
10
23084 +/- 50
95th
3
21882 +/- 22
95th
3
21833 +/- 33
92nd
34
20020 +/- 22
85th
21
19348 +/- 83
83rd
14
19130 +/- 37
79th
3
17108 +/- 45
78th
3
16884 +/- 242
Mid-Tier
75th
< 16227
71st
5
14514 +/- 740
69th
13
13981 +/- 1202
63rd
7
11588 +/- 338
57th
3
10150 +/- 12
54th
4
9466 +/- 5
53rd
13
8854 +/- 335
Median
50th
8641
49th
17
8635 +/- 6
42nd
21
7315 +/- 344
38th
3
6553 +/- 317
38th
9
6480 +/- 256
29th
3
4698 +/- 1
29th
6
4663 +/- 74
26th
6
4603 +/- 345
26th
24
4390 +/- 171
Low-Tier
25th
< 4369
25th
3
4349 +/- 8
21st
7
4278 +/- 85
20th
6
4258 +/- 45
19th
3
4235 +/- 66
19th
4
4199 +/- 107
19th
3
4187 +/- 173
17th
7
4071 +/- 349
11th
3
3325 +/- 54
9th
5
2530 +/- 8
6th
10
2247 +/- 28
5th
14
2115 +/- 235
OpenBenchmarking.orgDistribution Of Public Results - Problem Size: Small574 Results Range From 3 To 28938 CG Mflops358211611740231928983477405646355214579363726951753081098688926798461042511004115831216212741133201389914478150571563616215167941737317952185311911019689202682084721426220052258423163237422432124900254792605826637272162779528374289531428425670

Based on OpenBenchmarking.org data, the selected test / test configuration (miniFE 2.2 - Problem Size: Small) has an average run-time of 6 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 BenchmarkProblem Size: SmallRun-Time80160240320400Min: 1 / Avg: 5.36 / Max: 467

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.8%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsProblem Size: SmallDeviation3691215Min: 0 / Avg: 0.78 / Max: 10

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.

IntelAMDOpenBenchmarking.orgRelative Core Scaling To BaseminiFE CPU Core ScalingProblem Size: Small48162432641.47082.94164.41245.88327.354

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