Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment.

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

Project Site

cs.virginia.edu

Test Created

23 January 2013

Last Updated

28 December 2021

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

1 Minute, 17 Seconds

Average Run Time

20 Minutes, 55 Seconds

Test Dependencies

C/C++ Compiler Toolchain + OpenMPI + OpenCL

Accolades

150k+ Downloads + 5k+ Public Benchmark Results

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsRodinia Popularity Statisticspts/rodinia2013.012013.052013.092014.012014.052014.092015.012015.052015.092016.012016.052016.092017.012017.052017.092018.012018.052018.092019.012019.052019.092020.012020.052020.092021.012021.052021.092022.012022.052022.092023.012023.052023.0920K40K60K80K100K
* 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 updated weekly as of 28 November 2023.
OpenMP Leukocyte17.3%OpenMP CFD Solver23.6%OpenMP Streamcluster17.6%OpenMP LavaMD28.2%OpenMP HotSpot3D13.2%Test Option PopularityOpenBenchmarking.org

Revision History

pts/rodinia-1.3.2   [View Source]   Tue, 28 Dec 2021 09:31:58 GMT
Update Rodinia 3.1 download links as upstream host seems down..... Closes: [200~https://github.com/phoronix-test-suite/phoronix-test-suite/issues/583[201~

pts/rodinia-1.3.1   [View Source]   Thu, 09 Jul 2020 18:37:47 GMT
Drop OpenMP Myocyte.

pts/rodinia-1.3.0   [View Source]   Tue, 23 Jun 2020 12:01:54 GMT
Update against upstream Rodinia 3.1, increase the intensity of some of the problems.

pts/rodinia-1.2.2   [View Source]   Thu, 08 Oct 2015 15:59:24 GMT
Rodinia works on BSD.

pts/rodinia-1.2.1   [View Source]   Thu, 07 Nov 2013 09:07:01 GMT
Add opencl as external dependency.

pts/rodinia-1.2.0   [View Source]   Thu, 07 Nov 2013 07:59:47 GMT
Few more Rodinia OpenCL improvements.

pts/rodinia-1.1.1   [View Source]   Thu, 07 Nov 2013 07:35:14 GMT
Update Rodinia OpenCL Heartwall and Myocyte tests.

pts/rodinia-1.1.0   [View Source]   Thu, 07 Nov 2013 01:03:48 GMT
Update against upstream Rodinia 2.4 release. Also incorporate OpenCL tests to complement OpenMP tests.

pts/rodinia-1.0.0   [View Source]   Wed, 23 Jan 2013 16:16:40 GMT
Publish Rodinia 2.2 accelerator benchmarks.

Suites Using This Test

Multi-Core

OpenCL

Common Workstation Benchmarks

HPC - High Performance Computing

CPU Massive

Server CPU Tests

NVIDIA GPU Compute


Performance Metrics

Analyze Test Configuration:

Rodinia 3.1

Test: OpenMP LavaMD

OpenBenchmarking.org metrics for this test profile configuration based on 2,424 public results since 23 June 2020 with the latest data as of 2 December 2023.

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
Seconds (Average)
92nd
12
28 +/- 2
89th
12
32 +/- 2
83rd
22
42 +/- 1
79th
19
46 +/- 1
78th
6
48 +/- 2
Mid-Tier
75th
> 52
73rd
11
56 +/- 1
73rd
11
56 +/- 2
72nd
13
58 +/- 1
69th
10
65 +/- 2
69th
10
66 +/- 2
68th
19
68 +/- 3
65th
12
79 +/- 3
64th
20
81 +/- 5
60th
13
86 +/- 2
58th
10
90 +/- 2
56th
15
99 +/- 1
56th
3
101 +/- 1
55th
8
103 +/- 3
55th
6
103 +/- 8
54th
4
104 +/- 1
51st
6
113 +/- 3
Median
50th
115
50th
15
116 +/- 8
50th
4
116 +/- 4
50th
3
116 +/- 11
49th
17
123 +/- 5
46th
14
128 +/- 3
45th
12
131 +/- 1
44th
8
132 +/- 3
40th
6
154 +/- 8
39th
10
162 +/- 4
37th
9
168 +/- 12
35th
3
175 +/- 10
35th
26
176 +/- 9
33rd
8
190 +/- 9
32nd
4
194 +/- 6
31st
8
205 +/- 6
30th
4
211 +/- 30
30th
6
212 +/- 17
30th
3
213 +/- 2
30th
18
214 +/- 7
29th
3
225 +/- 1
28th
4
228 +/- 4
26th
16
246 +/- 20
Low-Tier
25th
> 246
25th
19
247 +/- 4
25th
3
254 +/- 26
24th
9
261 +/- 24
23rd
5
283 +/- 12
21st
20
298 +/- 3
21st
7
298 +/- 17
20th
18
306 +/- 2
17th
3
336 +/- 1
17th
6
352 +/- 28
17th
3
354 +/- 11
14th
5
447 +/- 6
14th
3
455 +/- 2
13th
16
471 +/- 12
13th
3
482 +/- 11
12th
4
486 +/- 14
12th
4
502 +/- 22
12th
10
503 +/- 1
11th
5
550 +/- 3
10th
7
553 +/- 1
10th
4
554 +/- 29
10th
6
569 +/- 2
7th
3
816 +/- 17
6th
3
901 +/- 85
3rd
3
1762 +/- 7
2nd
3
1866 +/- 45
2nd
3
1889 +/- 146
2nd
3
1980 +/- 56
OpenBenchmarking.orgDistribution Of Public Results - Test: OpenMP LavaMD2424 Results Range From 13 To 10642 Seconds1322643965286510781291150417171930214323562569278229953208342136343847406042734486469949125125533855515764597761906403661668297042725574687681789481078320853387468959917293859598981110024102371045010663400800120016002000

Based on OpenBenchmarking.org data, the selected test / test configuration (Rodinia 3.1 - Test: OpenMP LavaMD) has an average run-time of 12 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: OpenMP LavaMDRun-Time20406080100Min: 1 / Avg: 11.83 / Max: 114

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.3%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsTest: OpenMP LavaMDDeviation246810Min: 0 / Avg: 0.28 / 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 BaseRodinia CPU Core ScalingTest: OpenMP LavaMD468101214162432486496128612182430

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.
 
MOVAPD PUNPCKLQDQ XORPD UNPCKLPD MOVD MOVDQA SUBSD DIVSD MULSD ADDSD UCOMISD SQRTSD CVTSI2SD MOVUPD UNPCKHPD MULPD ADDPD SUBPD
Last automated analysis: 18 January 2022

This test profile binary relies on the shared libraries libm.so.6, libgomp.so.1, 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)
RISC-V 64-bit
riscv64
SiFive RISC-V
IBM POWER (PowerPC) 64-bit
ppc64le
POWER8
MIPS 64-bit
mips64
Loongson-3A R4
Loongson LoongArch 64-bit
loongarch64
Loongson-3A5000-HV
ARMv8 64-bit
aarch64
ARMv8, ARMv8 Cortex-A72, ARMv8 Neoverse-N1, ARMv8 Neoverse-N1 128-Core, ARMv8 Neoverse-N1 256-Core, ARMv8 Neoverse-N1 4-Core, ARMv8 Neoverse-N1 64-Core, ARMv8 Neoverse-V1, ARMv8 Neoverse-V1 4-Core, Ampere ARMv8 Neoverse-N1 128-Core, Ampere ARMv8 Neoverse-N1 160-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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