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

2 Minutes, 10 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/askap2015.112016.022016.052016.092016.122017.032017.062017.092017.122018.062018.092018.122019.042019.072019.102020.012020.042020.072020.102021.012021.042021.072021.102022.012022.042022.0710002000300040005000
* 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 29 September 2022.
tConvolve OpenMP27.8%Hogbom Clean OpenMP13.4%tConvolve MT24.5%tConvolve MPI34.4%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 987 public results since 24 January 2021 with the latest data as of 4 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
Mpix/sec (Average)
100th
41
62750 +/- 1009
94th
50
44857 +/- 676
90th
7
41906 +/- 728
90th
4
41838 +/- 778
89th
28
40869 +/- 1229
89th
3
40776 +/- 101
85th
20
40143 +/- 435
83rd
6
35204 +/- 4038
80th
21
32103 +/- 620
80th
7
31997 +/- 657
80th
6
31636 +/- 1128
79th
3
27704 +/- 128
79th
5
26284 +/- 99
77th
7
25418 +/- 337
Mid-Tier
75th
< 22901
75th
27
22699 +/- 322
73rd
8
21972 +/- 729
72nd
5
21659 +/- 225
72nd
5
21502 +/- 67
70th
8
21337 +/- 525
70th
3
21312 +/- 376
70th
16
21196 +/- 555
70th
5
21044 +/- 113
69th
7
20954 +/- 68
67th
19
20560 +/- 427
67th
3
20508 +/- 53
65th
8
20144 +/- 206
64th
14
18754 +/- 314
63rd
5
18348 +/- 82
61st
20
17771 +/- 449
59th
4
17074 +/- 376
59th
4
17047 +/- 79
59th
5
17011 +/- 46
58th
9
16863 +/- 377
57th
6
14930 +/- 191
55th
11
13688 +/- 252
54th
3
12862 +/- 39
53rd
6
12598 +/- 159
52nd
5
12193 +/- 44
52nd
5
12072 +/- 11
51st
4
11998 +/- 42
Median
50th
11563
50th
7
11433 +/- 353
50th
3
10571 +/- 249
50th
5
10444 +/- 37
46th
13
9136 +/- 134
45th
3
8523 +/- 17
45th
13
7674 +/- 139
43rd
6
7329 +/- 14
42nd
10
6977 +/- 420
40th
16
6677 +/- 124
39th
8
6611 +/- 204
39th
5
6610 +/- 50
36th
5
6123 +/- 52
35th
3
5232 +/- 24
35th
5
5188 +/- 80
32nd
11
4284 +/- 164
32nd
4
4223 +/- 51
31st
10
3939 +/- 198
30th
4
3872 +/- 207
29th
4
3525 +/- 154
28th
3
3368 +/- 23
28th
5
3357 +/- 15
28th
3
3103 +/- 14
27th
4
2810 +/- 88
27th
3
2737 +/- 26
26th
3
2509 +/- 16
Low-Tier
25th
< 2350
25th
3
2345 +/- 4
25th
3
2302
25th
3
2290 +/- 22
24th
3
2112 +/- 54
23rd
4
1955 +/- 9
23rd
3
1934 +/- 7
22nd
4
1895 +/- 21
22nd
6
1854 +/- 18
21st
6
1777 +/- 124
20th
3
1768 +/- 9
20th
10
1752 +/- 40
19th
3
1702 +/- 23
18th
3
1629 +/- 61
18th
3
1586 +/- 13
17th
5
1568 +/- 38
17th
3
1562 +/- 19
16th
3
1469 +/- 6
16th
4
1448 +/- 74
16th
3
1434 +/- 28
16th
5
1427 +/- 24
16th
3
1423 +/- 13
15th
3
1364 +/- 6
14th
5
1327 +/- 20
13th
4
1285 +/- 4
13th
4
1284 +/- 4
12th
3
1189 +/- 7
12th
4
1188 +/- 45
12th
3
1183 +/- 3
11th
3
1133 +/- 66
11th
3
1113 +/- 14
11th
4
1095 +/- 40
10th
3
1082 +/- 5
10th
8
1077 +/- 136
10th
6
1071 +/- 5
9th
3
1057 +/- 4
9th
3
1052 +/- 5
9th
3
1034 +/- 2
7th
3
995 +/- 18
7th
3
983 +/- 15
6th
3
848 +/- 11
6th
4
842 +/- 10
5th
4
825 +/- 27
5th
3
800 +/- 4
4th
3
772 +/- 4
4th
3
763 +/- 19
4th
3
747 +/- 16
4th
3
747 +/- 26
3rd
3
683 +/- 7
3rd
3
630 +/- 1
3rd
3
561 +/- 4
2nd
3
479 +/- 2
2nd
3
240 +/- 1
OpenBenchmarking.orgDistribution Of Public Results - Test: tConvolve MPI - Degridding980 Results Range From 110 To 64590 Mpix/sec110140026903980527065607850914010430117201301014300155901688018170194602075022040233302462025910272002849029780310703236033650349403623037520388104010041390426804397045260465504784049130504205171053000542905558056870581605945060740620306332064610306090120150

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-Time48121620Min: 1 / Avg: 2.71 / Max: 14

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.7%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsTest: tConvolve MPI - DegriddingDeviation246810Min: 0 / Avg: 0.66 / Max: 5

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 - Degridding4681216243248641281632486480

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.
 
MOVD MULSD DIVSD CVTTSD2SI ADDSD CVTSI2SD MOVAPD UCOMISD CVTSD2SS XORPD COMISD SUBSD CVTSS2SD ANDPD
Last automated analysis: 17 January 2022

This test profile binary relies on the shared libraries libOpenCL.so.1, libm.so.6, 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)
Loongson LoongArch 64-bit
loongarch64
Loongson-3A5000LL
ARMv8 64-bit
aarch64
ARMv8 Cortex-A57 4-Core, ARMv8 Neoverse-N1, ARMv8 Neoverse-N1 80-Core, ARMv8 Neoverse-V1, ARMv8 rev 0 8-Core, Ampere ARMv8 Neoverse-N1 256-Core, Ampere Altra ARMv8 Neoverse-N1 160-Core, Ampere eMAG ARMv8 32-Core, Apple M1

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