NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign.

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

Project Site

ks.uiuc.edu

Test Created

19 September 2018

Last Updated

16 February 2024

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

3 Seconds

Average Run Time

6 Minutes, 57 Seconds

Accolades

60k+ Downloads + 5k+ Public Benchmark Results

Supported Platforms

Supported Architectures

x86_64

Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsNAMD Popularity Statisticspts/namd2018.092018.112019.012019.032019.052019.072019.092019.112020.012020.032020.052020.072020.092020.112021.012021.032021.052021.072021.092021.112022.012022.032022.052022.072022.092022.112023.012023.032023.052023.072023.092023.112024.012024.036K12K18K24K30K
* 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 26 March 2024.
ATPase with 327,506 Atoms50.5%STMV with 1,066,628 Atoms49.5%Input Option PopularityOpenBenchmarking.org

Revision History

pts/namd-1.3.1   [View Source]   Fri, 16 Feb 2024 14:24:47 GMT
Update against NAMD 3.0b6 but no Windows binaries yet.

pts/namd-1.2.1   [View Source]   Fri, 28 Aug 2020 06:28:19 GMT
Fix checksum on NAMD 2.14 Linux build as apparently it changed upstream.

pts/namd-1.2.0   [View Source]   Thu, 20 Aug 2020 10:53:15 GMT
Update against new upstream NAMD 2.14 release.

pts/namd-1.1.0   [View Source]   Sat, 29 Feb 2020 08:14:38 GMT
Overdue been meaning to bump upstream from beta to final 2.13.

pts/namd-1.0.2   [View Source]   Tue, 15 Oct 2019 17:14:19 GMT
Add macOS support.

pts/namd-1.0.1   [View Source]   Thu, 17 Jan 2019 11:31:07 GMT
Add Windows support.

pts/namd-1.0.0   [View Source]   Wed, 19 Sep 2018 13:38:38 GMT
Initial commit finally of NAMD benchmark...

Suites Using This Test

Multi-Core

HPC - High Performance Computing

CPU Massive

Server CPU Tests

Molecular Dynamics

Scientific Computing


Performance Metrics

Analyze Test Configuration:

NAMD 2.14

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.org metrics for this test profile configuration based on 4,199 public results since 20 August 2020 with the latest data as of 20 March 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
days/ns (Average)
100th
14
0.11 +/- 0.01
100th
11
0.12 +/- 0.01
100th
57
0.13 +/- 0.01
98th
23
0.17 +/- 0.01
98th
4
0.19 +/- 0.02
96th
11
0.22 +/- 0.01
94th
71
0.23 +/- 0.01
94th
6
0.24 +/- 0.01
94th
21
0.24 +/- 0.02
92nd
16
0.26 +/- 0.01
89th
35
0.27 +/- 0.01
89th
3
0.27 +/- 0.02
89th
17
0.27 +/- 0.01
88th
89
0.28 +/- 0.01
87th
4
0.28 +/- 0.01
86th
6
0.29 +/- 0.01
85th
12
0.30 +/- 0.02
84th
11
0.31 +/- 0.01
84th
8
0.31 +/- 0.02
83rd
11
0.32 +/- 0.04
81st
15
0.37 +/- 0.04
81st
32
0.38 +/- 0.02
79th
9
0.39 +/- 0.01
79th
5
0.40 +/- 0.01
78th
12
0.41 +/- 0.02
76th
19
0.45 +/- 0.01
Mid-Tier
75th
> 0.46
74th
4
0.48 +/- 0.02
74th
32
0.49 +/- 0.02
74th
11
0.49 +/- 0.01
72nd
9
0.53 +/- 0.03
72nd
34
0.54 +/- 0.02
70th
3
0.59 +/- 0.01
69th
23
0.59 +/- 0.01
69th
15
0.61 +/- 0.02
68th
10
0.62 +/- 0.02
68th
40
0.63 +/- 0.08
67th
42
0.67 +/- 0.01
66th
4
0.69 +/- 0.09
64th
14
0.74 +/- 0.04
64th
3
0.75 +/- 0.03
64th
8
0.76 +/- 0.01
62nd
16
0.78 +/- 0.01
61st
59
0.82 +/- 0.04
61st
3
0.82 +/- 0.01
60th
27
0.83 +/- 0.03
59th
3
0.85 +/- 0.06
59th
19
0.86 +/- 0.01
57th
19
0.91 +/- 0.04
57th
5
0.92 +/- 0.11
56th
22
0.96 +/- 0.06
55th
3
0.98 +/- 0.01
55th
23
0.99 +/- 0.02
54th
49
1.02 +/- 0.02
54th
7
1.04 +/- 0.04
53rd
8
1.05 +/- 0.01
52nd
110
1.08 +/- 0.04
Median
50th
1.10
50th
22
1.11 +/- 0.03
49th
17
1.14 +/- 0.01
49th
9
1.15 +/- 0.10
49th
19
1.15 +/- 0.03
49th
8
1.15 +/- 0.01
47th
7
1.18 +/- 0.03
47th
23
1.18 +/- 0.02
47th
6
1.19 +/- 0.01
47th
24
1.20 +/- 0.03
46th
10
1.22 +/- 0.07
45th
28
1.26 +/- 0.05
45th
4
1.27 +/- 0.02
44th
85
1.29 +/- 0.04
43rd
4
1.31 +/- 0.03
42nd
25
1.34 +/- 0.09
42nd
15
1.35 +/- 0.01
42nd
3
1.36 +/- 0.03
41st
10
1.46 +/- 0.01
41st
3
1.48 +/- 0.09
40th
22
1.50 +/- 0.09
40th
26
1.51 +/- 0.01
39th
28
1.52 +/- 0.03
39th
4
1.54 +/- 0.04
39th
9
1.54 +/- 0.03
38th
16
1.55 +/- 0.04
38th
9
1.55 +/- 0.04
38th
7
1.58 +/- 0.01
38th
19
1.60 +/- 0.01
37th
8
1.65 +/- 0.03
36th
8
1.73 +/- 0.09
35th
7
1.75 +/- 0.07
35th
7
1.79 +/- 0.19
35th
17
1.81 +/- 0.05
34th
38
1.84 +/- 0.11
33rd
28
1.86 +/- 0.05
33rd
8
1.88 +/- 0.05
32nd
20
1.93 +/- 0.07
32nd
18
1.94 +/- 0.06
32nd
11
1.96 +/- 0.29
32nd
10
1.96 +/- 0.01
31st
3
1.99 +/- 0.01
31st
6
2.03 +/- 0.11
30th
19
2.04 +/- 0.06
30th
10
2.05 +/- 0.06
30th
9
2.06 +/- 0.01
29th
15
2.12 +/- 0.06
29th
9
2.13 +/- 0.05
29th
15
2.14 +/- 0.06
29th
3
2.16 +/- 0.02
28th
7
2.20 +/- 0.07
28th
4
2.20 +/- 0.03
27th
13
2.26 +/- 0.02
27th
26
2.27 +/- 0.04
26th
4
2.37 +/- 0.01
Low-Tier
25th
> 2.40
25th
33
2.42 +/- 0.08
25th
18
2.48 +/- 0.06
24th
12
2.57 +/- 0.27
24th
7
2.64 +/- 0.23
24th
5
2.65 +/- 0.01
23rd
13
2.73 +/- 0.01
22nd
11
2.79 +/- 0.07
22nd
5
2.81 +/- 0.16
22nd
13
2.87 +/- 0.18
22nd
7
2.88 +/- 0.01
21st
9
2.89 +/- 0.14
21st
4
2.89 +/- 0.02
21st
22
2.89 +/- 0.01
20th
5
2.96 +/- 0.23
20th
3
2.98 +/- 0.02
20th
5
3.02 +/- 0.08
19th
3
3.11 +/- 0.01
19th
5
3.12 +/- 0.02
19th
3
3.14 +/- 0.03
19th
3
3.14 +/- 0.01
19th
13
3.15 +/- 0.32
19th
4
3.17 +/- 0.02
19th
14
3.20 +/- 0.31
18th
11
3.25 +/- 0.10
18th
3
3.37 +/- 0.02
18th
5
3.38 +/- 0.37
18th
4
3.43 +/- 0.08
18th
10
3.43 +/- 0.06
17th
9
3.49 +/- 0.09
17th
13
3.56
16th
4
3.59 +/- 0.16
16th
10
3.61 +/- 0.25
16th
5
3.69 +/- 0.16
16th
4
3.71 +/- 0.05
15th
4
3.82 +/- 0.50
14th
6
3.90 +/- 0.11
14th
9
3.95 +/- 0.12
14th
3
4.04 +/- 0.30
13th
9
4.14 +/- 0.42
13th
15
4.15 +/- 0.03
13th
5
4.16 +/- 0.16
13th
5
4.19 +/- 0.03
12th
3
4.23 +/- 0.01
12th
12
4.31 +/- 0.01
11th
3
4.58 +/- 0.01
11th
10
4.60 +/- 0.18
10th
7
4.70 +/- 0.57
10th
7
4.71 +/- 0.26
10th
3
4.75 +/- 0.01
10th
8
4.80 +/- 0.04
10th
7
4.83 +/- 0.16
9th
5
5.01 +/- 0.03
9th
4
5.09 +/- 0.15
9th
5
5.15 +/- 0.03
8th
6
5.52 +/- 0.44
8th
26
5.61 +/- 0.02
7th
4
5.83 +/- 0.66
7th
5
5.89 +/- 0.05
7th
3
6.07 +/- 0.02
6th
3
6.51 +/- 0.04
6th
14
6.58 +/- 0.13
6th
4
6.60 +/- 0.28
6th
4
6.80 +/- 0.73
6th
8
6.86 +/- 0.88
5th
7
7.80 +/- 0.93
5th
4
8.01 +/- 0.95
4th
4
8.88 +/- 0.08
4th
3
9.50 +/- 0.03
4th
53
10.33 +/- 0.05
3rd
5
11.14 +/- 0.03
2nd
4
11.45 +/- 0.31
2nd
3
11.95 +/- 0.05
2nd
6
13.48 +/- 0.04
2nd
4
14.04 +/- 0.20
2nd
3
14.05 +/- 1.86
1st
3
23.42 +/- 0.06
OpenBenchmarking.orgDistribution Of Public Results - ATPase Simulation - 327,506 Atoms4199 Results Range From 0 To 82 days/ns714212835424956637077849001800270036004500

Based on OpenBenchmarking.org data, the selected test / test configuration (NAMD 2.14 - ATPase Simulation - 327,506 Atoms) 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 BenchmarkATPase Simulation - 327,506 AtomsRun-Time816243240Min: 1 / Avg: 5.79 / Max: 37

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.3%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsATPase Simulation - 327,506 AtomsDeviation3691215Min: 0 / Avg: 0.3 / Max: 8

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 BaseNAMD CPU Core ScalingATPase Simulation - 327,506 Atoms246810121618202428324048566496128714212835

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.
 
MOVDQA MOVDQU PUNPCKLQDQ MOVUPD PSRLDQ MOVD CVTSI2SD DIVSD MULSD COMISD ADDSD CVTTSD2SI CVTSD2SS ADDPD CVTSS2SD SUBSD MOVAPD ANDPD CMPNLESD UNPCKLPD SUBPD SQRTSD XORPD MULPD CVTPD2PS MOVHPD MAXSD MOVLPD UNPCKHPD SHUFPD CVTPS2PD MINSD PSHUFD CVTDQ2PD DIVPD PSUBQ PADDQ CVTDQ2PS SQRTPD CMPNLTSD ANDNPD ORPD PMULUDQ MAXPD CMPEQPD CMPNEQPD CMPLESD CMPLEPD CMPLTPD MINPD UCOMISD CMPLTSD MOVMSKPD
Last automated analysis: 18 February 2024

This test profile binary relies on the shared libraries libpthread.so.0, libdl.so.2, libm.so.6, libmvec.so.1, libz.so.1, libc.so.6.

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)
ARMv8 64-bit
arm64
Apple M1, Apple M1 Max, Apple M1 Pro, Apple M2 Pro, Apple M3 Max

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