Benchpark Lists

The easiest way to get started with Benchpark is to run already specified experiments on already specified systems, or to modify one that is similar. You can search through the existing experiments and benchmarks with the below commands.

Search for available system and experiment specifications in Benchpark.

Searching for specifications in Benchpark

Command	Description	Listing in the docs
benchpark list	Lists all benchmarks, systems, and experiments specified in Benchpark
benchpark list systems	Lists all system specified in Benchpark	System Specifications
benchmark list benchmarks	Lists all benchmarks specified in Benchpark	Benchmarks and Experiments
benchmark list experiments	Lists all experiments specified in Benchpark	Benchmarks and Experiments
benchmark list modifiers	Lists all modifiers specified in Benchpark	Benchpark Modifiers
benchpark tags workspace	Lists all tags specified in Benchpark
benchpark tags -a application workspace	Lists all tags specified for a given application in Benchpark
benchpark tags -t tag workspace	Lists all experiments in Benchpark with a given tag
benchpark info system <system>	Lists all information about a given system
benchpark info experiment <experiment>	Lists all information about a given experiment
benchpark bootstrap	Manually trigger bootstrapping or update the bootstrap

Benchpark also has a help menu:

$ benchpark --help

usage: main.py [-h] [-V] {tags,system,experiment,setup,unit-test,audit,mirror,info,show-build,list,bootstrap,analyze} ...

Benchpark

options:
  -h, --help            show this help message and exit
  -V, --version         show version number and exit

Subcommands:
  {tags,system,experiment,setup,unit-test,audit,mirror,info,show-build,list,bootstrap,analyze}
    tags                Tags in Benchpark experiments
    system              Initialize a system config
    experiment          Interact with experiments
    setup               Set up an experiment and prepare it to build/run
    unit-test           Run benchpark unit tests
    audit               Look for problems in System/Experiment repos
    mirror              Copy a benchpark workspace
    info                Get information about Systems and Experiments
    show-build          Show how spack built a benchmark
    list                List experiments, systems, benchmarks, and modifiers
    bootstrap           Bootstrap benchpark or update an existing bootstrap
    analyze             Perform pre-defined analysis on the performance data (caliper files) after 'ramble on'

The benchpark list command is used to search the available benchmarks, systems, modifiers, and experiments in Benchpark.

Seaborn not found, so skipping imports of plotting in thicket.stats
To enable this plotting, install seaborn or thicket[plotting]
usage: main.py list [-h] {benchmarks,experiments,systems,modifiers} ...

positional arguments:
  {benchmarks,experiments,systems,modifiers}
                        List available experiments, systems, and modifiers

options:
  -h, --help            show this help message and exit

Seaborn not found, so skipping imports of plotting in thicket.stats
To enable this plotting, install seaborn or thicket[plotting]
Benchmarks:
    ad
    amg2023
    babelstream
    genesis
    gpcnet
    gromacs
    hpcg
...

Seaborn not found, so skipping imports of plotting in thicket.stats
To enable this plotting, install seaborn or thicket[plotting]
Systems:
    aws-pcluster instance_type=c6g.xlarge
    aws-pcluster instance_type=c4.xlarge
    aws-pcluster instance_type=hpc7a.48xlarge
    aws-pcluster instance_type=hpc6a.48xlarge
    csc-lumi
    cscs-daint
    cscs-eiger
...

Seaborn not found, so skipping imports of plotting in thicket.stats
To enable this plotting, install seaborn or thicket[plotting]
Modifiers:
    affinity
    allocation
    caliper
    hwloc

Seaborn not found, so skipping imports of plotting in thicket.stats
To enable this plotting, install seaborn or thicket[plotting]
Experiments:
    ad
    amg2023
    amg2023+openmp
    amg2023+cuda
    amg2023+rocm
    amg2023 scaling=strong
    amg2023 scaling=weak
...

Additionally, this command can be used to search for experiments with one or more programming models:

$ benchpark list experiments --experiment openmp rocm

Seaborn not found, so skipping imports of plotting in thicket.stats
To enable this plotting, install seaborn or thicket[plotting]
Experiments:
    amg2023+openmp
    amg2023+rocm
    babelstream+openmp
    babelstream+rocm
    genesis+openmp
    gromacs+openmp
    gromacs+rocm
    hpcg+openmp
    hpl+openmp
    kripke+openmp
    kripke+rocm
    laghos+rocm
    lammps+openmp
    lammps+rocm
    osu-micro-benchmarks+rocm
    quicksilver+openmp
    qws+openmp
    raja-perf+openmp
    raja-perf+rocm
    remhos+rocm
    salmon-tddft+openmp
    saxpy+openmp
    saxpy+rocm

Or search which experiments have the Caliper modifier (see Benchpark Modifiers) available:

$ benchpark list modifiers --name caliper --experiments

Seaborn not found, so skipping imports of plotting in thicket.stats
To enable this plotting, install seaborn or thicket[plotting]
Modifiers:
    caliper
    	amg2023
    	babelstream
    	hpcg
    	hpl
    	kripke
    	laghos
    	quicksilver
    	qws
    	raja-perf
    	remhos
    	saxpy
    	stream

Now that you know the existing benchmarks and systems, you can determine your necessary workflow in Benchpark Workflow.