FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions.

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

Project Site

fftw.org

Test Created

22 January 2015

Last Updated

16 August 2017

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

2 Minutes, 42 Seconds

Average Run Time

5 Minutes, 57 Seconds

Test Dependencies

C/C++ Compiler Toolchain

Accolades

100k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsFFTW Popularity Statisticspts/fftw2015.012015.042015.072015.102016.012016.042016.072016.102017.012017.042017.072017.102018.012018.042018.072018.102019.012019.042019.072019.102020.012020.042020.072020.102021.012021.042021.072021.102022.012022.042022.0711K22K33K44K55K
* 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 September 2022.
Float + SSE50.7%Stock49.3%Build Option PopularityOpenBenchmarking.org
2D FFT Size 1286.7%2D FFT Size 5127.2%1D FFT Size 10246.7%1D FFT Size 5126.7%2D FFT Size 10247.2%2D FFT Size 328.2%2D FFT Size 409618.4%1D FFT Size 20486.7%2D FFT Size 20487.2%1D FFT Size 3211.5%1D FFT Size 409613.4%Size Option PopularityOpenBenchmarking.org

Revision History

pts/fftw-1.2.0   [View Source]   Wed, 16 Aug 2017 10:29:55 GMT
Update against fftw 3.3.6, add AVX2/AVX512 enables

pts/fftw-1.1.0   [View Source]   Sat, 24 Jan 2015 12:28:44 GMT
Switch to using Mflops as a scale.

pts/fftw-1.0.0   [View Source]   Thu, 22 Jan 2015 11:35:11 GMT
Initial commit of fftw.

Suites Using This Test

C/C++ Compiler Tests

CPU Massive

HPC - High Performance Computing

Scientific Computing


Performance Metrics

Analyze Test Configuration:

FFTW 3.3.6

Build: Float + SSE - Size: 2D FFT Size 4096

OpenBenchmarking.org metrics for this test profile configuration based on 1,499 public results since 16 August 2017 with the latest data as of 30 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
Mflops (Average)
100th
8
42591 +/- 1527
100th
9
40273 +/- 3112
100th
6
36856 +/- 1015
98th
13
31447 +/- 478
97th
28
31266 +/- 836
96th
18
30668 +/- 2662
95th
9
30085 +/- 530
95th
3
29469 +/- 290
94th
8
28495 +/- 3090
92nd
23
27470 +/- 1208
92nd
12
27355 +/- 1686
92nd
8
26974 +/- 1107
91st
6
26537 +/- 2254
91st
3
26366 +/- 586
89th
16
24865 +/- 1852
88th
12
24498 +/- 1979
88th
8
24188 +/- 2629
87th
6
23759 +/- 1005
85th
4
22290 +/- 3181
82nd
4
21070 +/- 1668
82nd
8
20926 +/- 547
82nd
4
20881 +/- 1536
81st
4
20530 +/- 746
81st
5
20526 +/- 2273
81st
32
20477 +/- 1813
79th
6
19907 +/- 1868
78th
6
19556 +/- 2026
76th
3
19208 +/- 1178
76th
16
19078 +/- 1669
Mid-Tier
75th
< 19006
75th
14
18895 +/- 1080
74th
3
18734 +/- 456
74th
8
18484 +/- 557
72nd
31
18327 +/- 1085
70th
3
18019 +/- 1352
69th
4
17830 +/- 1639
68th
6
17755 +/- 251
67th
3
17576 +/- 1101
66th
8
17492 +/- 633
65th
3
17327 +/- 281
64th
5
17221 +/- 570
64th
9
17161 +/- 1602
63rd
3
17084 +/- 239
63rd
19
17064 +/- 1138
62nd
12
16961 +/- 1454
59th
7
16508 +/- 1296
57th
9
16224 +/- 1439
57th
3
16186 +/- 1323
54th
7
15771 +/- 1353
54th
13
15761 +/- 1295
54th
5
15759 +/- 1279
53rd
4
15703 +/- 621
53rd
3
15698 +/- 952
53rd
10
15649 +/- 993
53rd
7
15622 +/- 1491
53rd
18
15594 +/- 1013
52nd
8
15496 +/- 1271
52nd
4
15494 +/- 948
52nd
6
15375 +/- 772
52nd
7
15366 +/- 1024
51st
6
15311 +/- 872
51st
6
15286 +/- 787
Median
50th
15188
50th
6
15142 +/- 1061
49th
6
15100 +/- 1205
49th
4
15039 +/- 1188
46th
5
14933 +/- 1601
46th
10
14858 +/- 1851
44th
5
14747 +/- 371
41st
3
14473 +/- 840
40th
9
14371 +/- 290
40th
7
14342 +/- 476
33rd
17
13107 +/- 313
32nd
7
12997 +/- 1906
31st
22
12849 +/- 520
31st
3
12832 +/- 380
31st
3
12719 +/- 1487
30th
4
12710 +/- 999
28th
3
12344 +/- 492
28th
6
12245 +/- 334
Low-Tier
25th
< 11630
25th
5
11362 +/- 1114
25th
3
11169 +/- 393
24th
5
10693 +/- 268
23rd
13
10636 +/- 148
21st
8
10087 +/- 324
19th
3
9085 +/- 116
18th
3
8666 +/- 143
15th
4
6188 +/- 88
14th
5
5192 +/- 387
11th
3
4810 +/- 106
7th
29
3558 +/- 23
5th
7
2493 +/- 172
OpenBenchmarking.orgDistribution Of Public Results - Build: Float + SSE - Size: 2D FFT Size 40961499 Results Range From 95 To 44009 Mflops959741853273236114490536962487127800688859764106431152212401132801415915038159171679617675185541943320312211912207022949238282470725586264652734428223291022998130860317393261833497343763525536134370133789238771396504052941408422874316644045306090120150

Based on OpenBenchmarking.org data, the selected test / test configuration (FFTW 3.3.6 - Build: Float + SSE - Size: 2D FFT Size 4096) has an average run-time of 24 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 BenchmarkBuild: Float + SSE - Size: 2D FFT Size 4096Run-Time20406080100Min: 8 / Avg: 23.62 / Max: 94

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 1%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsBuild: Float + SSE - Size: 2D FFT Size 4096Deviation3691215Min: 0 / Avg: 1.04 / Max: 7

Does It Scale Well With Increasing Cores?

No, based on the automated analysis of the collected public benchmark data, this test / test settings does not 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 BaseFFTW CPU Core ScalingBuild: Float + SSE - Size: 2D FFT Size 4096468121620243248640.47920.95841.43761.91682.396

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)
SPARC64
sparc64
(Many Processors)
IBM Z
s390x
(Many Processors)
IBM POWER (PowerPC) 64-bit
ppc64le
POWER9 16-Core
MIPS 64-bit
mips64
ICT Loongson-3A R3
Intel / AMD x86 32-bit
i686
(Many Processors)
ARMv7 32-bit
armv7l
ARMv7 rev 4 4-Core
DEC Alpha
alpha
Alpha
ARMv8 64-bit
aarch64
(Many Processors)

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