FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r).

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

Project Site

ffte.jp

Test Created

7 April 2012

Last Updated

29 September 2020

Test Maintainer

Michael Larabel 

Test Type

Processor

Test Dependencies

C/C++ Compiler Toolchain + Fortran

Accolades

150k+ Downloads

Supported Platforms


Public Result UploadsReported Installs*Test Completions*OpenBenchmarking.orgEventsFFTE Popularity Statisticspts/ffte2012.042012.072012.102013.012013.042013.072013.102014.012014.042014.072014.102015.012015.042015.072015.102016.012016.042016.072016.102017.012017.042017.072017.102018.012018.042018.072018.102019.012019.042019.072019.102020.012020.042020.072020.102021.012021.044K8K12K16K20K
* 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.
Data current as of Wed, 05 May 2021 12:30:06 GMT.

Revision History

pts/ffte-1.2.1   [View Source]   Tue, 29 Sep 2020 10:43:28 GMT
Only build speed3d test that is used rather than make all to avoid a code issue elsewhere in codebase with latest GCC Gfortran.

pts/ffte-1.2.0   [View Source]   Sun, 27 Sep 2020 14:17:57 GMT
Update against FFTE 7.0, switch to speed3d for more demanding test.

pts/ffte-1.1.0   [View Source]   Sun, 04 Mar 2018 11:35:47 GMT
Update against FFTE 6.0, add Windows support.

pts/ffte-1.0.1   [View Source]   Sat, 07 Apr 2012 21:19:21 GMT
Syncing fix.

pts/ffte-1.0.0   [View Source]   Sat, 07 Apr 2012 21:09:37 GMT
Initial commit of a basic FFTE 5.0 test profile.

Suites Using This Test

Scientific Computing

HPC - High Performance Computing


Performance Metrics

Analyze Test Configuration:

FFTE 7.0

N=256, 3D Complex FFT Routine

OpenBenchmarking.org metrics for this test profile configuration based on 860 public results since 27 September 2020 with the latest data as of 3 May 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
# Matching Public Results
MFLOPS (Average)
100th
8
270663 +/- 15886
100th
3
261314 +/- 3883
99th
10
245759 +/- 1796
98th
4
242137 +/- 1671
97th
5
234981 +/- 1156
96th
5
204270 +/- 9717
95th
7
186100 +/- 541
93rd
15
180139 +/- 5646
93rd
4
175468 +/- 4717
92nd
3
170116 +/- 1176
89th
12
161915 +/- 3288
88th
10
158194 +/- 2845
86th
10
150534 +/- 684
86th
5
149192 +/- 1141
84th
12
144266 +/- 10737
84th
8
144167 +/- 789
82nd
10
137312 +/- 1293
80th
10
135554 +/- 717
80th
10
135106 +/- 1263
Mid-Tier
75th
< 121809
75th
13
119477 +/- 4421
75th
6
117985 +/- 10624
73rd
10
110868 +/- 991
72nd
3
109766 +/- 823
72nd
6
108704 +/- 222
67th
8
85270 +/- 9460
67th
10
84752 +/- 424
65th
6
82390 +/- 3273
64th
10
76678 +/- 367
63rd
3
69872 +/- 483
62nd
10
68935 +/- 1342
61st
6
62820 +/- 2671
60th
8
60599 +/- 1763
58th
3
56273 +/- 585
57th
7
55550 +/- 4499
56th
14
53872 +/- 1014
54th
9
48874 +/- 2283
52nd
10
44191 +/- 152
Median
50th
40420
48th
16
38389 +/- 1608
48th
7
38328 +/- 366
47th
7
37771 +/- 3284
46th
22
37251 +/- 2002
45th
6
36964 +/- 522
43rd
3
36494 +/- 251
43rd
14
36404 +/- 601
43rd
6
36237 +/- 1334
39th
6
34437 +/- 401
38th
6
33850 +/- 175
37th
3
33146 +/- 153
37th
4
32699 +/- 256
36th
3
31800 +/- 824
34th
6
30837 +/- 865
33rd
5
30593 +/- 416
33rd
3
30454 +/- 309
33rd
3
29994 +/- 283
32nd
4
29100 +/- 109
31st
3
28547 +/- 221
31st
6
28531 +/- 147
29th
6
26424 +/- 422
29th
10
26339 +/- 1032
28th
6
26107 +/- 248
28th
6
26029 +/- 1756
27th
6
25683 +/- 215
Low-Tier
25th
< 24501
25th
6
24060 +/- 2623
25th
6
23662 +/- 122
23rd
3
22882 +/- 59
23rd
3
22535 +/- 865
23rd
3
22352 +/- 115
21st
3
20664 +/- 431
20th
3
20307 +/- 42
20th
7
20286 +/- 248
19th
3
19909 +/- 267
19th
4
19810 +/- 104
18th
3
19298 +/- 131
18th
4
18979 +/- 137
17th
3
18591 +/- 186
17th
3
17954 +/- 14
16th
3
17706 +/- 144
16th
5
17358 +/- 914
15th
5
17065 +/- 94
14th
3
16929 +/- 130
14th
3
16646 +/- 396
13th
3
16373 +/- 41
13th
4
16143 +/- 1913
13th
7
15956 +/- 418
12th
3
15268 +/- 78
10th
4
14762 +/- 223
10th
6
14689 +/- 239
10th
3
14610 +/- 83
9th
7
14527 +/- 680
9th
3
14405 +/- 118
8th
3
13557 +/- 75
7th
3
11652 +/- 10
6th
4
11444 +/- 119
6th
3
11365 +/- 41
5th
3
9755 +/- 92
5th
3
9222 +/- 146
5th
3
8832 +/- 12
3rd
6
6314 +/- 694
3rd
3
4855 +/- 42
3rd
7
2054 +/- 182
OpenBenchmarking.orgDistribution Of Public Results - N=256, 3D Complex FFT Routine870 Results Range From 978 To 287448 MFLOPS97867081243818168238982962835358410884681852548582786400869738754688119886928926589838810411810984811557812130812703813276813849814422814995815568816141816714817287817860818433819006819579820152820725821298821871822444823017823590824163824736825309825882826455827028827601828174828747820406080100

Based on OpenBenchmarking.org data, the selected test / test configuration (FFTE 7.0 - N=256, 3D Complex FFT Routine) 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 BenchmarkN=256, 3D Complex FFT RoutineRun-Time246810Min: 1 / Avg: 1 / Max: 1

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.5%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsN=256, 3D Complex FFT RoutineDeviation3691215Min: 0 / Avg: 0.53 / Max: 7

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 BaseFFTE CPU Core ScalingN=256, 3D Complex FFT Routine46812161824283248643691215

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.
 
SUBSD COMISD CVTSI2SD DIVSD MULSD ADDSD XORPD MOVAPD UNPCKLPD MOVUPD UNPCKHPD MULPD SUBPD ADDPD PUNPCKLQDQ MOVDQA SHUFPD SQRTSD CVTTSD2SI
Last automated analysis: 30 January 2021

This test profile binary relies on the shared libraries libgfortran.so.5, libm.so.6, libgomp.so.1, libquadmath.so.0, libpthread.so.0, libc.so.6, libdl.so.2.

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