LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics.

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

Project Site

computing.llnl.gov

Test Created

4 March 2020

Last Updated

11 January 2021

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

4 Seconds

Average Run Time

2 Minutes, 8 Seconds

Test Dependencies

OpenMPI + C/C++ Compiler Toolchain

Accolades

10k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsLULESH Popularity Statisticspts/lulesh2017.072017.092017.112018.012018.032018.062018.082018.102018.122019.022019.042019.062019.082019.102019.122020.022020.042020.062020.082020.102020.122021.022021.042021.062021.082021.102021.122022.022022.042022.062022.082022.107001400210028003500
* 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 1 December 2022.

Revision History

pts/lulesh-1.1.1   [View Source]   Mon, 11 Jan 2021 16:17:22 GMT
Flags update.

pts/lulesh-1.1.0   [View Source]   Sun, 10 Jan 2021 16:26:32 GMT
Increase problem size.

pts/lulesh-1.0.1   [View Source]   Wed, 04 Mar 2020 17:08:44 GMT
Missed out on version number.

pts/lulesh-1.0.0   [View Source]   Wed, 04 Mar 2020 17:03:27 GMT
Initial commit of LULESH.

Suites Using This Test

HPC - High Performance Computing

Molecular Dynamics

Scientific Computing


Performance Metrics

Analyze Test Configuration:

LULESH 2.0.3

OpenBenchmarking.org metrics for this test profile configuration based on 1,183 public results since 10 January 2021 with the latest data as of 19 November 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
z/s (Average)
100th
8
59786 +/- 414
100th
8
58589 +/- 611
100th
4
52699 +/- 1109
98th
33
42220 +/- 886
96th
7
41459 +/- 486
88th
45
35694 +/- 2599
87th
20
35130 +/- 444
87th
28
35115 +/- 2482
86th
24
34626 +/- 3726
86th
6
33506 +/- 2926
85th
9
32907 +/- 2533
85th
5
32785 +/- 2934
81st
8
30298 +/- 140
80th
8
30015 +/- 541
80th
6
29921 +/- 1485
79th
4
27526 +/- 728
78th
7
25192 +/- 920
78th
4
24905 +/- 273
78th
8
24832 +/- 826
76th
8
23520 +/- 472
76th
8
23294 +/- 581
Mid-Tier
75th
< 22939
75th
6
22650 +/- 99
74th
6
22463 +/- 185
74th
4
22438 +/- 609
73rd
3
22156 +/- 806
73rd
23
21984 +/- 360
71st
3
20944 +/- 60
71st
8
20679 +/- 121
70th
5
20129 +/- 977
67th
29
19182 +/- 409
65th
11
18954 +/- 255
64th
22
18746 +/- 1810
64th
20
18745 +/- 106
63rd
15
18571 +/- 245
62nd
18
18426 +/- 1762
60th
4
17646 +/- 338
60th
9
17637 +/- 181
60th
5
17558 +/- 365
58th
6
15902 +/- 1253
57th
4
15587 +/- 210
57th
5
14886 +/- 146
56th
5
14653 +/- 111
55th
3
14229 +/- 49
55th
3
14148 +/- 529
54th
5
14035 +/- 44
54th
5
13972 +/- 75
53rd
5
13928 +/- 222
53rd
5
13487 +/- 115
53rd
4
13146 +/- 92
52nd
5
12874 +/- 75
Median
50th
10151
50th
4
10081 +/- 260
50th
3
10032 +/- 207
50th
10
9878 +/- 249
50th
8
9864 +/- 230
48th
5
9496 +/- 202
48th
4
9438 +/- 172
46th
5
9212 +/- 93
46th
6
9088 +/- 75
45th
3
9008 +/- 163
45th
3
8912 +/- 220
44th
14
8551 +/- 884
43rd
5
8044 +/- 43
43rd
5
7975 +/- 46
42nd
3
7604 +/- 57
41st
3
7326 +/- 83
40th
5
6956 +/- 3
40th
5
6887 +/- 34
39th
5
6772 +/- 30
38th
3
6624 +/- 68
37th
3
6391 +/- 54
35th
3
5886 +/- 50
33rd
8
5303 +/- 580
32nd
3
5193 +/- 6
30th
3
4966 +/- 2
29th
3
4640 +/- 17
Low-Tier
25th
< 4016
24th
3
3390 +/- 17
24th
5
2732 +/- 14
23rd
5
1700 +/- 52
22nd
8
1618 +/- 26
22nd
9
1615 +/- 161
21st
4
1575 +/- 7
21st
6
1552 +/- 5
20th
7
1497 +/- 50
20th
3
1475 +/- 2
19th
3
1473 +/- 1
19th
3
1412 +/- 3
19th
3
1390 +/- 5
18th
3
1336 +/- 2
18th
4
1295 +/- 3
18th
6
1274 +/- 19
17th
5
1257 +/- 35
17th
3
1255 +/- 6
17th
3
1228 +/- 2
16th
3
1199 +/- 16
16th
4
1197 +/- 8
16th
7
1185 +/- 10
15th
3
1179 +/- 3
14th
4
1169 +/- 3
14th
8
1168 +/- 9
14th
7
1167 +/- 7
13th
4
1154 +/- 3
13th
3
1154 +/- 3
12th
3
1147 +/- 1
12th
3
1146 +/- 4
12th
4
1137 +/- 20
12th
3
1136 +/- 6
11th
3
1105 +/- 2
11th
3
1068 +/- 4
10th
3
1026 +/- 1
10th
3
1020 +/- 2
10th
4
991
10th
3
991 +/- 4
9th
6
984 +/- 99
9th
3
950 +/- 4
9th
3
932 +/- 1
9th
4
931 +/- 4
8th
3
869 +/- 1
8th
3
692 +/- 1
6th
4
467 +/- 36
OpenBenchmarking.orgDistribution Of Public Results1183 Results Range From 205 To 60174 z/s205140526053805500562057405860598051100512205134051460515805170051820519405206052180523005242052540526605278052900530205314053260533805350053620537405386053980541005422054340544605458054700548205494055060551805530055420555405566055780559005602054080120160200

Based on OpenBenchmarking.org data, the selected test / test configuration (LULESH 2.0.3) 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 BenchmarkRun-Time48121620Min: 1 / Avg: 1.42 / Max: 13

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.2%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsDeviation246810Min: 0 / Avg: 0.24 / Max: 3

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 BaseLULESH CPU Core Scaling4681216243248641281224364860

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.
 
PUNPCKLQDQ COMISD SUBSD MULSD DIVSD MOVAPD ADDSD MOVHPD MOVDQA MOVUPD SHUFPD UNPCKLPD MOVD MINSD XORPD SUBPD MOVLPD UNPCKHPD MULPD ADDPD ANDPD CMPNLTSD ANDNPD ORPD UCOMISD SQRTSD MAXSD MAXPD CMPLTPD MOVDQU PSHUFD CVTSI2SD CVTTSD2SI
Last automated analysis: 17 January 2022

This test profile binary relies on the shared libraries libmpi.so.40, libm.so.6, libgomp.so.1, libc.so.6, libopen-pal.so.40, 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 4-Core
Loongson LoongArch 64-bit
loongarch64
Loongson-3A5000LL
Intel / AMD x86 32-bit
i686
(Many Processors)
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-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, Apple M2

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