ACES DGEMM

This is a multi-threaded DGEMM benchmark.

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

Project Site

lanl.gov

Test Created

11 October 2019

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

2 Seconds

Average Run Time

15 Minutes, 13 Seconds

Test Dependencies

C/C++ Compiler Toolchain

Accolades

10k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsACES DGEMM Popularity Statisticspts/mt-dgemm2019.102019.112019.122020.012020.022020.032020.042020.052020.062020.072020.082020.092020.102020.112020.122021.012021.022021.032021.042021.052021.062021.072021.082021.092021.102021.112021.122022.012022.022022.032022.042022.052022.062022.072022.082022.092022.102022.112022.1211002200330044005500
* 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 1 December 2022.

Revision History

pts/mt-dgemm-1.2.0   [View Source]   Fri, 11 Oct 2019 15:29:15 GMT
Initial commit of ACES DGEMM

Suites Using This Test

Multi-Core

HPC - High Performance Computing

Scientific Computing

Linear Algebra

Programmer / Developer System Benchmarks


Performance Metrics

Analyze Test Configuration:

ACES DGEMM 1.0

Sustained Floating-Point Rate

OpenBenchmarking.org metrics for this test profile configuration based on 2,075 public results since 11 October 2019 with the latest data as of 1 December 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
GFLOP/s (Average)
88th
28
24 +/- 1
84th
24
20 +/- 1
Mid-Tier
75th
< 16
68th
19
12 +/- 2
65th
17
11 +/- 1
Median
50th
7
Low-Tier
25th
< 3
10th
4
0.8
OpenBenchmarking.orgDistribution Of Public Results - Sustained Floating-Point Rate2075 Results Range From 0 To 393 GFLOP/s20406080100120140160180200220240260280300320340360380400400800120016002000

Based on OpenBenchmarking.org data, the selected test / test configuration (ACES DGEMM 1.0 - Sustained Floating-Point Rate) has an average run-time of 7 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 BenchmarkSustained Floating-Point RateRun-Time1632486480Min: 1 / Avg: 6.41 / Max: 85

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 1.2%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsSustained Floating-Point RateDeviation3691215Min: 0 / Avg: 1.24 / Max: 8

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.

IntelAMDOpenBenchmarking.orgRelative Core Scaling To BaseACES DGEMM CPU Core ScalingSustained Floating-Point Rate468121618202432486496128714212835

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
Used by default on supported hardware.
Found on Intel processors since Sandy Bridge (2011).
Found on AMD processors since Bulldozer (2011).

 
VBROADCASTSD VZEROUPPER VEXTRACTF128 VINSERTF128
FMA (FMA)
Used by default on supported hardware.
Found on Intel processors since Haswell (2013).
Found on AMD processors since Bulldozer (2011).

 
VFMADD132SD VFMADD231SD
Advanced Vector Extensions 512 (AVX512)
Requires passing a supported compiler/build flag (verified with targets: cascadelake, sapphirerapids).
 
(ZMM REGISTER USE)
The test / benchmark does honor compiler flag changes.
Last automated analysis: 18 January 2022

This test profile binary relies on the shared libraries 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)
IBM Z
s390x
(Many Processors)
Loongson LoongArch 64-bit
loongarch64
Loongson-3A5000LL
ARMv7 32-bit
armv7l
ARMv7 Cortex-A72 4-Core, ARMv7 rev 3 4-Core
ARMv8 64-bit
aarch64
AArch64 rev 1, AArch64 rev 12, AArch64 rev 4, ARMv8 Cortex-A53 4-Core, ARMv8 Cortex-A72, ARMv8 Cortex-A72 4-Core, ARMv8 Neoverse-N1, ARMv8 Neoverse-N1 32-Core, ARMv8 Neoverse-V1, ARMv8 rev 0 8-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 Altra ARMv8 Neoverse-N1 80-Core, Apple M1, Apple M2, phytium FT1500a

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