arch2021_nln_re
Repeatability evaluation package for the ARCH2021 NLN competition
Science Score: 57.0%
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Low similarity (15.1%) to scientific vocabulary
Repository
Repeatability evaluation package for the ARCH2021 NLN competition
Basic Info
- Host: GitHub
- Owner: JuliaReach
- License: mit
- Language: Julia
- Default Branch: main
- Size: 34.2 KB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
ARCH2021 NLN
This is the JuliaReach repeatability evaluation (RE) package for the ARCH-COMP 2021 category report: Continuous and Hybrid Systems with Nonlinear Dynamics of the 5th International Competition on Verifying Continuous and Hybrid Systems (ARCH-COMP '21).
To cite the work, you can use:
@inproceedings{GerettiAABCCDFKLSSW21,
author = {Luca Geretti and
Julien Alexandre Dit Sandretto and
Matthias Althoff and
Luis Benet and
Alexandre Chapoutot and
Pieter Collins and
Parasara Sridhar Duggirala and
Marcelo Forets and
Edward Kim and
Uziel Linares and
David P. Sanders and
Christian Schilling and
Mark Wetzlinger},
editor = {Goran Frehse and
Matthias Althoff},
title = {{ARCH-COMP21} Category Report: Continuous and Hybrid Systems with
Nonlinear Dynamics},
booktitle = {{ARCH}},
series = {EPiC Series in Computing},
volume = {80},
pages = {32--54},
publisher = {EasyChair},
year = {2021},
url = {https://doi.org/10.29007/2jw8},
doi = {10.29007/2jw8}
}
Installation
Note: Running the full benchmark suite should take no more than two hours with a reasonable internet connection (may take longer otherwise).
There are two ways to install and run this RE: either using the Julia script, or using the included Dockerfile. In both cases, first clone this repository:
shell
$ git clone https://github.com/JuliaReach/ARCH2021_NLN.git
$ cd ARCH2021_NLN
Using the Julia script. First install the Julia language in your system following the instructions in the Downloads page. Once you have installed Julia installed in your system, do
shell
$ julia startup.jl
to run all the benchmarks. After this command has finished, the results will be stored
under the folder result/results.csv and the generated plots in your working directory.
Using the Docker container. To build the container, you need the program docker.
For installation instructions on different platforms, consult
the Docker documentation.
For general information about Docker, see
this guide.
Once you have installed Docker, start the measure_all script:
shell
$ ./measure_all
The output results will be saved under the folder result/,
and the generated plots will be in your working directory.
The Docker container can also be run interactively. To run it interactively, type:
```shell $ docker run -it juliareach bash
$ julia
julia> include("startup.jl") ```
About this RE
This repeatability evaluation package relies on Julia's package manager, Pkg, to create an environment that can be used to exactly use the same package versions in different machines. For further instructions on creating this RE, see this wiki.
Owner
- Name: JuliaReach
- Login: JuliaReach
- Kind: organization
- Website: http://juliareach.com/
- Twitter: JuliaReach
- Repositories: 31
- Profile: https://github.com/JuliaReach
Reachability Computations for Dynamical Systems in Julia
Citation (CITATION.bib)
@inproceedings{GerettiAABCCDFKLSSW21,
author = {Luca Geretti and
Julien Alexandre Dit Sandretto and
Matthias Althoff and
Luis Benet and
Alexandre Chapoutot and
Pieter Collins and
Parasara Sridhar Duggirala and
Marcelo Forets and
Edward Kim and
Uziel Linares and
David P. Sanders and
Christian Schilling and
Mark Wetzlinger},
editor = {Goran Frehse and
Matthias Althoff},
title = {{ARCH-COMP21} Category Report: Continuous and Hybrid Systems with
Nonlinear Dynamics},
booktitle = {{ARCH}},
series = {EPiC Series in Computing},
volume = {80},
pages = {32--54},
publisher = {EasyChair},
year = {2021},
url = {https://doi.org/10.29007/2jw8},
doi = {10.29007/2jw8}
}
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Dependencies
- julia 1.6.0 build