LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types.

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

Project Site

luaradio.io

Test Created

10 March 2021

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

2 Seconds

Average Run Time

11 Minutes, 56 Seconds

Test Dependencies

FFTW

Accolades

5k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsLuaRadio Popularity Statisticspts/luaradio2021.032021.042021.052021.062021.072021.082021.092021.102021.112021.122022.012022.022022.032022.042022.052022.062022.072022.082022.092022.1010002000300040005000
* 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 2 October 2022.
Complex Phase24.5%FM Deemphasis Filter25.1%Hilbert Transform24.5%Five Back to Back FIR Filters25.9%Test Option PopularityOpenBenchmarking.org

Revision History

pts/luaradio-1.0.0   [View Source]   Wed, 10 Mar 2021 10:18:07 GMT
Initial commit.

Suites Using This Test

Software Defined Radio


Performance Metrics

Analyze Test Configuration:

LuaRadio 0.9.1

Test: Five Back to Back FIR Filters

OpenBenchmarking.org metrics for this test profile configuration based on 702 public results since 10 March 2021 with the latest data as of 1 October 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
MiB/s (Average)
100th
6
2483 +/- 30
100th
3
2273 +/- 8
99th
8
2151 +/- 114
95th
15
1778 +/- 127
92nd
7
1705 +/- 111
92nd
26
1701 +/- 48
87th
15
1622 +/- 38
85th
17
1543 +/- 59
82nd
3
1473 +/- 11
81st
4
1448 +/- 37
80th
3
1386 +/- 90
79th
5
1348 +/- 114
79th
8
1335 +/- 28
79th
6
1332 +/- 53
76th
3
1294 +/- 3
Mid-Tier
75th
< 1277
74th
3
1250 +/- 15
74th
4
1242 +/- 5
73rd
7
1233 +/- 17
70th
3
1153 +/- 11
68th
3
1132 +/- 7
68th
4
1130 +/- 129
66th
7
1088 +/- 69
64th
3
965 +/- 7
62nd
3
919 +/- 2
62nd
3
908 +/- 16
61st
4
895 +/- 3
60th
12
882 +/- 38
58th
3
854 +/- 3
57th
3
840 +/- 2
56th
5
832 +/- 16
54th
4
820 +/- 4
51st
3
787 +/- 7
Median
50th
787
44th
4
724 +/- 1
42nd
5
678 +/- 83
41st
3
675 +/- 11
41st
3
674 +/- 6
40th
6
668 +/- 8
40th
4
668 +/- 1
39th
9
667 +/- 5
37th
3
655 +/- 4
37th
3
652 +/- 9
35th
3
625 +/- 6
33rd
3
595 +/- 4
32nd
3
572 +/- 1
31st
6
568 +/- 4
31st
6
568 +/- 16
30th
8
564 +/- 11
29th
5
556 +/- 1
28th
6
544 +/- 1
27th
3
540 +/- 5
27th
4
537 +/- 2
Low-Tier
25th
< 530
25th
3
522 +/- 2
23rd
6
488 +/- 34
20th
3
452 +/- 1
20th
3
450 +/- 12
20th
4
448 +/- 17
19th
5
442 +/- 3
19th
7
440 +/- 39
18th
3
437 +/- 1
18th
3
435 +/- 4
17th
3
424 +/- 2
13th
5
379 +/- 9
11th
3
349 +/- 2
10th
5
337 +/- 32
10th
3
330 +/- 1
9th
3
284 +/- 8
8th
7
270 +/- 6
7th
4
218 +/- 2
6th
3
175 +/- 2
5th
9
167 +/- 2
OpenBenchmarking.orgDistribution Of Public Results - Test: Five Back to Back FIR Filters693 Results Range From 39 To 2499 MiB/s398913918923928933938943948953958963968973978983988993998910391089113911891239128913391389143914891539158916391689173917891839188919391989203920892139218922392289233923892439248925391122334455

Based on OpenBenchmarking.org data, the selected test / test configuration (LuaRadio 0.9.1 - Test: Five Back to Back FIR Filters) has an average run-time of 13 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: Five Back to Back FIR FiltersRun-Time612182430Min: 12 / Avg: 12.44 / Max: 28

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.4%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsTest: Five Back to Back FIR FiltersDeviation246810Min: 0 / Avg: 0.37 / Max: 4

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 BaseLuaRadio CPU Core ScalingTest: Five Back to Back FIR Filters46812162432641281.773.545.317.088.85

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)
ARMv7 32-bit
armv7l
ARMv7 Cortex-A72 4-Core
ARMv8 64-bit
aarch64
ARMv8 Cortex-A72 16-Core, ARMv8 Cortex-A72 4-Core, Ampere Altra ARMv8 Neoverse-N1 160-Core, Ampere eMAG ARMv8 32-Core, Apple M1, Apple M2

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