ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve.

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

Project Site

github.com

Test Created

10 November 2015

Last Updated

24 January 2021

Test Maintainer

Michael Larabel 

Test Type

Graphics

Average Install Time

9 Seconds

Average Run Time

1 Minute, 44 Seconds

Test Dependencies

C/C++ Compiler Toolchain + OpenCL + OpenMPI

Accolades

100k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsASKAP tConvolveCuda Popularity Statisticspts/askap2015.112016.012016.032016.052016.072016.102016.122017.022017.042017.062017.082017.102017.122018.032018.072018.092018.112019.012019.042019.062019.082019.102019.122020.022020.042020.062020.082020.102020.122021.022021.042021.062021.082021.107001400210028003500
* 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 27 November 2021.
tConvolve OpenMP27.5%Hogbom Clean OpenMP13.0%tConvolve MT25.1%tConvolve MPI34.5%Test Option PopularityOpenBenchmarking.org

Revision History

pts/askap-2.1.0   [View Source]   Sun, 24 Jan 2021 16:58:25 GMT
Update against ASKAP 1.0 upstream.

pts/askap-2.0.1   [View Source]   Sat, 19 Oct 2019 20:43:41 GMT
Add --allow-run-as-root

pts/askap-2.0.0   [View Source]   Fri, 18 Oct 2019 19:38:09 GMT
Add MPI, OpenMP, OpenCL tests and other improvements.

pts/askap-1.0.0   [View Source]   Tue, 10 Nov 2015 12:58:45 GMT
Add ASKAP CUDA test.

Suites Using This Test

Multi-Core

HPC - High Performance Computing

MPI Benchmarks


Performance Metrics

Analyze Test Configuration:

ASKAP 1.0

Test: tConvolve MPI - Degridding

OpenBenchmarking.org metrics for this test profile configuration based on 797 public results since 24 January 2021 with the latest data as of 29 November 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
# Compatible Public Results
Mpix/sec (Average)
100th
22
45185 +/- 346
97th
10
41437 +/- 936
96th
3
40776 +/- 101
95th
11
40428 +/- 193
94th
13
38637 +/- 1364
91st
7
31997 +/- 657
91st
3
27704 +/- 128
90th
5
26284 +/- 99
89th
7
25418 +/- 337
87th
9
22932 +/- 232
86th
5
21659 +/- 225
86th
9
21544 +/- 204
86th
5
21502 +/- 67
84th
5
21044 +/- 113
83rd
7
20954 +/- 68
82nd
10
20808 +/- 395
81st
3
20508 +/- 53
80th
8
20144 +/- 206
79th
12
18717 +/- 311
78th
5
18348 +/- 82
Mid-Tier
75th
< 17113
75th
4
17047 +/- 79
75th
5
17011 +/- 46
74th
6
14930 +/- 191
72nd
11
13688 +/- 252
70th
3
12862 +/- 39
70th
6
12598 +/- 159
69th
5
12193 +/- 44
68th
5
12072 +/- 11
67th
4
11998 +/- 42
67th
3
10571 +/- 249
66th
5
10444 +/- 37
63rd
9
9218 +/- 32
62nd
3
8523 +/- 17
61st
11
7675 +/- 152
59th
6
7329 +/- 14
57th
7
6755 +/- 268
56th
5
6610 +/- 50
55th
6
6523 +/- 142
54th
5
6123 +/- 52
53rd
3
5240 +/- 54
53rd
3
5232 +/- 24
51st
7
4366 +/- 71
51st
4
4223 +/- 51
Median
50th
4218
50th
6
3929 +/- 140
49th
4
3872 +/- 207
48th
3
3368 +/- 23
48th
5
3357 +/- 15
47th
3
3103 +/- 14
46th
4
2810 +/- 88
46th
3
2737 +/- 26
45th
3
2509 +/- 16
45th
3
2345 +/- 4
44th
3
2290 +/- 22
44th
3
2112 +/- 54
43rd
4
1955 +/- 9
42nd
3
1934 +/- 7
42nd
4
1895 +/- 21
Low-Tier
25th
< 1839
23rd
142
1839 +/- 1
23rd
6
1777 +/- 124
22nd
3
1768 +/- 9
22nd
10
1752 +/- 40
21st
3
1702 +/- 23
20th
3
1629 +/- 61
19th
3
1586 +/- 13
19th
5
1568 +/- 38
18th
3
1469 +/- 6
18th
4
1448 +/- 74
18th
5
1427 +/- 24
18th
3
1423 +/- 13
17th
3
1364 +/- 6
16th
5
1327 +/- 20
15th
4
1285 +/- 4
15th
4
1284 +/- 4
14th
3
1189 +/- 7
14th
4
1188 +/- 45
14th
3
1183 +/- 3
13th
3
1133 +/- 66
12th
3
1114 +/- 15
12th
3
1113 +/- 14
12th
3
1082 +/- 5
12th
8
1077 +/- 136
11th
6
1071 +/- 5
11th
3
1057 +/- 4
10th
3
1034 +/- 2
10th
3
1021 +/- 2
9th
3
995 +/- 18
8th
3
983 +/- 15
7th
3
848 +/- 11
7th
4
842 +/- 10
6th
4
825 +/- 27
6th
3
800 +/- 4
5th
3
772 +/- 4
5th
3
763 +/- 19
5th
3
747 +/- 16
5th
3
747 +/- 26
4th
3
683 +/- 7
3rd
3
630 +/- 1
3rd
3
561 +/- 4
3rd
3
479 +/- 2
2nd
3
240 +/- 1
OpenBenchmarking.orgDistribution Of Public Results - Test: tConvolve MPI - Degridding796 Results Range From 110 To 57882 Mpix/sec1101266242235784734589070468202935810514116701282613982151381629417450186061976220918220742323024386255422669827854290103016631322324783363434790359463710238258394144057041726428824403845194463504750648662498185097452130532865444255598567545791050100150200250

Based on OpenBenchmarking.org data, the selected test / test configuration (ASKAP 1.0 - Test: tConvolve MPI - Degridding) has an average run-time of 3 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: tConvolve MPI - DegriddingRun-Time3691215Min: 1 / Avg: 2.3 / Max: 12

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.6%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsTest: tConvolve MPI - DegriddingDeviation246810Min: 0 / Avg: 0.57 / 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 BaseASKAP tConvolveCuda CPU Core ScalingTest: tConvolve MPI - Degridding4681216243248641281224364860

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.
 
MULSD DIVSD CVTTSD2SI ADDSD CVTSI2SD MOVAPD UCOMISD COMISD CVTSD2SS MOVD XORPD SUBSD CVTSS2SD ANDPD
Last automated analysis: 9 May 2021

This test profile binary relies on the shared libraries libOpenCL.so.1, libm.so.6, libc.so.6, libdl.so.2.

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