NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes.

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

Project Site

nas.nasa.gov

Test Created

6 December 2010

Last Updated

14 October 2021

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

38 Seconds

Average Run Time

1 Minute, 48 Seconds

Test Dependencies

C/C++ Compiler Toolchain + Fortran + OpenMPI

Accolades

300k+ Downloads + 5k+ Public Benchmark Results

Supported Platforms


Public Result Uploads *Reported Test Completions **Reported Installs **Test Profile Page Views ***OpenBenchmarking.orgEventsNAS Parallel Benchmarks Popularity Statisticspts/npb2010.122011.052011.102012.032012.082013.012013.062013.112014.042014.092015.022015.072015.122016.052016.102017.032017.082018.012018.062018.112019.042019.092020.022020.072020.122021.052021.102022.032022.082023.012023.062023.112024.042024.0980K160K240K320K400K
* 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 9 November 2024.
IS.D7.1%EP.C10.9%BT.C11.1%CG.C10.7%LU.C13.1%FT.C9.7%MG.C11.2%SP.C6.8%SP.B9.1%EP.D10.2%Test / Class Option PopularityOpenBenchmarking.org

Revision History

pts/npb-1.4.5   [View Source]   Thu, 14 Oct 2021 14:32:39 GMT
Pull in fixes from skeevy420. Fixes: https://github.com/phoronix-test-suite/phoronix-test-suite/pull/552

pts/npb-1.4.4   [View Source]   Sat, 22 May 2021 17:40:59 GMT
Add sp.c, adjust process count per https://www.phoronix.com/forums/forum/phoronix/phoronix-test-suite/1257554-how-to-enable-verbose-output#post1257618

pts/npb-1.4.2   [View Source]   Thu, 21 Jan 2021 12:22:20 GMT
Build fix for GCC 10 gfortran/

pts/npb-1.4.1   [View Source]   Sat, 07 Mar 2020 12:22:08 GMT
Add --alow-run-as-root, ended up being missed until now.

pts/npb-1.4.0   [View Source]   Wed, 28 Aug 2019 11:43:04 GMT
Update against upstream NPB 3.4, add new test cases.

pts/npb-1.3.1   [View Source]   Tue, 15 Jan 2019 11:37:52 GMT
Update against upstream NPB 3.1.1

pts/npb-1.3.0   [View Source]   Fri, 09 Nov 2018 12:39:01 GMT
Use physical core count rather than logical cores to avoid MPI breaking on high core count systems with SMT.

pts/npb-1.2.4   [View Source]   Sat, 09 Sep 2017 10:30:50 GMT
ft.B not ft.C size

pts/npb-1.2.3   [View Source]   Sat, 09 Sep 2017 10:15:47 GMT
Update MPI handling, add some larger test sizes

pts/npb-1.2.2   [View Source]   Thu, 25 Aug 2016 13:51:56 GMT
Update CFLAGS handling

pts/npb-1.2.1   [View Source]   Thu, 27 Nov 2014 18:42:33 GMT
MG.B and IS.D do not build / run properly on modern systems.

pts/npb-1.2.0   [View Source]   Tue, 05 Nov 2013 22:57:21 GMT
Working on new version of NPB test that makes use of some of the HPCC test profile MPI improvements and other multi-core/cluster work for better benchmarking. Seems to have MPI rank errors right now though for NPB on this build.

pts/npb-1.1.1   [View Source]   Sun, 10 Jun 2012 19:11:43 GMT
Remove tests not in MPI NPB version.

pts/npb-1.1.0   [View Source]   Sun, 10 Jun 2012 16:56:25 GMT
Switch to the MPI version of NPB benchmarks.

pts/npb-1.0.0   [View Source]   Mon, 06 Dec 2010 15:00:08 GMT
Initial import into OpenBenchmarking.org

Suites Using This Test

Multi-Core

HPC - High Performance Computing

CPU Massive

Server CPU Tests

MPI Benchmarks


Performance Metrics

Analyze Test Configuration:

NAS Parallel Benchmarks 3.4

Test / Class: LU.C

OpenBenchmarking.org metrics for this test profile configuration based on 3,002 public results since 28 August 2019 with the latest data as of 9 November 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
Total Mop/s (Average)
100th
7
824612 +/- 18396
100th
17
762784 +/- 19233
100th
27
598378 +/- 9634
100th
5
598119 +/- 11193
99th
21
537685 +/- 25496
98th
33
499455 +/- 16511
97th
20
477048 +/- 5333
97th
9
471568 +/- 7196
96th
13
460183 +/- 5553
96th
36
397859 +/- 7178
95th
13
384769 +/- 976
94th
4
372552 +/- 3063
94th
17
342023 +/- 11231
94th
7
320189 +/- 4103
93rd
6
298780 +/- 8021
92nd
47
286606 +/- 3797
92nd
11
281541 +/- 3337
90th
18
270942 +/- 3139
89th
19
264078 +/- 22042
89th
21
263023 +/- 1598
88th
25
260267 +/- 2972
88th
43
260029 +/- 7975
87th
4
258131 +/- 10621
86th
21
255314 +/- 3626
86th
7
254832 +/- 14499
86th
5
253800 +/- 6179
86th
11
253780 +/- 34774
86th
13
253447 +/- 979
85th
8
248030 +/- 2941
84th
13
232244 +/- 841
83rd
36
209281 +/- 25770
82nd
4
191704 +/- 3941
82nd
6
190167 +/- 173
81st
4
187322 +/- 2894
81st
9
184447 +/- 25744
81st
8
180369 +/- 2328
81st
4
179539 +/- 1836
79th
8
171670 +/- 2592
79th
9
169843 +/- 2595
79th
3
166232 +/- 355
79th
3
158510 +/- 17417
78th
8
154912 +/- 18012
78th
11
154810 +/- 4991
77th
28
143472 +/- 1480
76th
9
141642 +/- 13127
76th
3
141597 +/- 3461
76th
9
141018 +/- 1284
Mid-Tier
75th
< 140090
74th
8
137244 +/- 2812
74th
4
137188 +/- 415
74th
22
136966 +/- 5139
73rd
3
136224 +/- 211
73rd
15
135839 +/- 630
73rd
20
135177 +/- 1048
72nd
8
134585 +/- 4089
72nd
36
131908 +/- 12125
71st
5
130925 +/- 10944
71st
3
130811 +/- 115
71st
10
128677 +/- 17256
70th
10
124437 +/- 14980
70th
4
124008 +/- 11701
70th
5
122166 +/- 7790
70th
4
119941 +/- 1267
69th
26
115406 +/- 6154
67th
30
106729 +/- 9137
66th
6
104538 +/- 1101
66th
4
104116 +/- 260
66th
8
103146 +/- 13771
66th
4
102546 +/- 1727
66th
8
102307 +/- 596
66th
9
100960 +/- 9270
65th
20
98149 +/- 309
64th
15
96333 +/- 13220
64th
9
95478 +/- 11541
64th
4
95461 +/- 764
63rd
3
89783 +/- 1499
63rd
9
87109 +/- 533
63rd
4
86851 +/- 608
62nd
3
83687 +/- 8551
62nd
3
83659 +/- 160
61st
3
80179 +/- 924
61st
5
80000 +/- 7195
61st
5
77943 +/- 10795
61st
3
77907 +/- 312
61st
6
77204 +/- 2767
60th
6
76261 +/- 521
60th
4
74928 +/- 1115
60th
4
74589 +/- 335
60th
5
74363 +/- 151
59th
5
74091 +/- 1060
59th
3
73473 +/- 652
58th
16
72088 +/- 4716
54th
4
60755 +/- 388
54th
15
60641 +/- 1209
54th
7
60331 +/- 1281
54th
10
60260 +/- 80
53rd
4
56916 +/- 323
52nd
12
55597 +/- 4302
Median
50th
53273
50th
5
53194 +/- 937
50th
16
53132 +/- 726
50th
3
51483 +/- 2758
50th
8
51407 +/- 599
49th
5
49243 +/- 1200
48th
6
48298 +/- 355
47th
7
47503 +/- 126
47th
5
47387 +/- 378
47th
11
47235 +/- 5133
47th
15
46934 +/- 2925
46th
8
46606 +/- 200
46th
7
46125 +/- 1044
46th
12
45767 +/- 488
44th
18
44417 +/- 1057
43rd
16
44005 +/- 394
42nd
21
43609 +/- 2053
42nd
4
43419 +/- 195
41st
14
42635 +/- 1418
40th
6
41110 +/- 2246
39th
11
39246 +/- 787
38th
9
38848 +/- 151
38th
3
38594 +/- 820
37th
4
37125 +/- 51
37th
12
35685 +/- 661
36th
3
35402 +/- 86
35th
10
33603 +/- 66
35th
4
33273 +/- 1929
35th
5
32693 +/- 2377
34th
6
32572 +/- 3310
34th
12
32378 +/- 170
33rd
7
31885 +/- 488
33rd
5
31492 +/- 114
33rd
3
31214 +/- 1696
32nd
14
30995 +/- 318
32nd
8
30278 +/- 261
32nd
11
30253 +/- 2122
32nd
3
30091 +/- 2625
31st
9
29553 +/- 1109
30th
44
28092 +/- 1121
30th
34
28029 +/- 2099
28th
5
27145 +/- 1364
28th
11
27131 +/- 1104
27th
11
27032 +/- 364
27th
10
26771 +/- 710
27th
4
26651 +/- 81
26th
3
26546 +/- 551
26th
39
26511 +/- 2511
26th
14
26436 +/- 171
Low-Tier
25th
< 26265
25th
22
26113 +/- 379
24th
6
25722 +/- 630
23rd
15
25338 +/- 895
22nd
9
24790 +/- 329
22nd
17
23881 +/- 1286
21st
13
23623 +/- 1132
21st
9
22959 +/- 2167
20th
4
22816 +/- 225
20th
14
22743 +/- 3269
20th
3
22338 +/- 178
20th
6
21923 +/- 263
19th
9
21723 +/- 2282
19th
3
21401 +/- 1258
18th
4
21065 +/- 164
18th
5
20968 +/- 2388
18th
13
20928 +/- 508
18th
7
20899 +/- 1436
18th
8
20292 +/- 13
17th
4
20196 +/- 11
17th
3
19575 +/- 9
17th
10
19446 +/- 2089
16th
5
19312 +/- 1594
16th
4
18724 +/- 103
15th
6
18050 +/- 1074
15th
11
17899 +/- 837
15th
4
17585 +/- 157
14th
7
17551 +/- 86
14th
3
17312 +/- 140
14th
16
17298 +/- 256
13th
6
16926 +/- 753
13th
5
16516 +/- 89
13th
8
16424 +/- 485
13th
8
16317 +/- 397
12th
6
16060 +/- 521
12th
4
16045 +/- 134
12th
15
15918 +/- 1169
12th
8
15488 +/- 114
11th
13
15156 +/- 34
11th
19
15151 +/- 277
11th
5
15114 +/- 289
10th
3
15043 +/- 58
10th
4
14685 +/- 86
9th
7
14164 +/- 204
9th
3
14064 +/- 172
9th
9
13634 +/- 385
8th
9
13170 +/- 67
8th
3
12608 +/- 71
8th
4
12511 +/- 370
8th
3
12400 +/- 224
7th
4
12253 +/- 1225
7th
3
11658 +/- 736
7th
6
11655 +/- 836
7th
7
11336 +/- 153
6th
4
9314 +/- 36
6th
7
8782 +/- 1175
5th
4
8168 +/- 13
5th
8
7907 +/- 243
4th
3
7201 +/- 219
3rd
3
2340 +/- 47
OpenBenchmarking.orgDistribution Of Public Results - Test / Class: LU.C2980 Results Range From 60 To 835482 Total Mop/s601676933478501876689683605100314117023133732150441167150183859200568217277233986250695267404284113300822317531334240350949367658384367401076417785434494451203467912484621501330518039534748551457568166584875601584618293635002651711668420685129701838718547735256751965768674785383802092818801835510140280420560700

Based on OpenBenchmarking.org data, the selected test / test configuration (NAS Parallel Benchmarks 3.4 - Test / Class: LU.C) has an average run-time of 4 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 BenchmarkTest / Class: LU.CRun-Time20406080100Min: 1 / Avg: 4.06 / Max: 123

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 RunsTest / Class: LU.CDeviation246810Min: 0 / Avg: 0.21 / 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.

IntelAMDOpenBenchmarking.orgRelative Core Scaling To BaseNAS Parallel Benchmarks CPU Core ScalingTest / Class: LU.C246810121416243248566496128192918273645

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)
Loongson LoongArch 64-bit
loongarch64
Loongson-3A5000LL
Intel / AMD x86 32-bit
i686
(Many Processors)
ARMv8 64-bit
aarch64
ARMv8 Cortex-A53 4-Core, ARMv8 Cortex-A55 4-Core, ARMv8 Cortex-A57 4-Core, ARMv8 Cortex-A72, ARMv8 Cortex-A72 4-Core, ARMv8 Cortex-A72 6-Core, ARMv8 Cortex-A76 4-Core, ARMv8 Neoverse-N1, ARMv8 Neoverse-N1 128-Core, ARMv8 Neoverse-N1 4-Core, ARMv8 Neoverse-N1 64-Core, ARMv8 Neoverse-N1 80-Core, ARMv8 Neoverse-V1, ARMv8 Neoverse-V1 4-Core, ARMv8 Neoverse-V2, ARMv8 Neoverse-V2 72-Core, ARMv8 rev 0 8-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 eMAG ARMv8 32-Core, AmpereOne 192-Core, AmpereOne 72-Core, Apple M2

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