# devstone-comparative
Here you can find several DEVStone implementations for comparing the main DEVS engines.

Adapted to benchmark Dynamic Structure DEVS

## Running the pypdevs benchmarks
First select a simulator:
- classic
- parallel
- dynamic
  - classic
  - number of models to generate per cycle
- minimal

Shared parameters:
- path: where the results will be stored
- filename: 
- append: will append the data to the output file instead of overwriting it
- max width/depth: max model width/depth
- width/depth step size: 
  - determines how fast the width/depth increases to the max specified value
  - the simulation will be run for every width and depth combination
  - the step size must be a divider of the max width/depth
  - if not provided the model will run only the max width/depth
- repetitions: number of times the exact same simulation will be repeated
- output
- memory: Measures the memory usage of a simulation.
- interval: The interval at which measurements are taken.

- model structure: each simulator has its own set of models
  - LI, HI, HO, HOmod (classic, parallel, dynamic, minimal)
  - HI2LI, LI2HI, dLI, dHI (dynamic)

For each simulation the parameters and the creation, setup and simulation time are saved to a csv file.

## plotting

## Measuring Memory
Run the following command, the width and depth step size parameters should be left out, 
to measure the memory usage of a single simulation, for the same reason the repetitions should be set to one.

```
uv run testPyPDEVS.py -md 100 -mw 100 -r 1 -O dynamic -ms dLI & PID=$!; python -m procpath record -i 0.1 -f stat -d output.sqlite --stop-without-result "$..children[?(@.stat.pid == $PID)]"
```
```
procpath plot -d output.sqlite -f out.svg -q rss
```