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PMC-SOG
experiments
hybrid
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0678d4a0
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0678d4a0
authored
Dec 28, 2020
by
Jaime Arias
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update README
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@@ -6,12 +6,13 @@ The experimental results were obtained on [Magi
cluster
](
http://magi.univ-paris13.fr/wiki/
)
of
[
University Sorbonne Paris
Nord
](
https://univ-paris13.fr/
)
. We used the partition
`COMPUTE`
which has 40
processors (two Intel Xeon E5-2650 v3 at 2.30GHz) connected by an InfiniBand
network, and 64GB of RAM. A total of
4
models from the
[
Model Checking
network, and 64GB of RAM. A total of
5
models from the
[
Model Checking
Contest
](
https://mcc.lip6.fr/models.php
)
were used in our experiments:
*[Philosophers](models/philo/description.pdf)*
(
`philo`
),
*[RobotManipulation](models/robot/description.pdf)*
(
`robot`
),
*[SwimmingPool](models/spool/description.pdf)*
(
`spool`
), and
*[CircularTrains]((models/train/description.pdf))*
(
`train`
).
(
`spool`
),
*[CircularTrains]((models/train/description.pdf))*
(
`train`
), and
*[TokenRing](models/tring/description.pdf)*
(
`tring`
).
## Clone this repository:
...
...
@@ -37,6 +38,7 @@ git clone https://depot.lipn.univ-paris13.fr/PMC-SOG/experiments/hybrid.git && c
├── scripts
│ ├── csv_generator.py # script that generates a csv file with the results from the logs
│ ├── formula_generator.py # script that generates N random LTL\X formulas
│ ├── oar_formula_generator.py # script that generates the files to run the experiments on the GRID5000 cluster
│ └── plot-results.ipynb # Python notebook that allows to generate the figures and interact with the results
│ └── plot-results.py # script that generates the figures (if you do not want to open the notebook)
│ └── sbatch_formula_generator.py # script that generates the sbatch files to generate formulas on Magi cluster
...
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