Invocation (sparse.gmres)
$ARTIFACT_DIR/bin/storm --statistics --prism $ARTIFACT_DIR/benchmarks/dtmc/egl/egl.prism --constants N=5,L=2 --expvisittimes --eqsolver gmm++ --gmm++:method gmres --engine sparse --timemem --precision 0.001 --exportresult results_evts/logs/exports/storm.sparse.gmres.0.001.egl.5-2.json
Sparse (default) engine
Storm 1.9.1 (dev)
Date: Sat Sep 14 00:54:48 2024
Command line arguments: --statistics --prism /rwthfs/rz/clusterevts/evt-benchmarking/benchmarks/dtmc/egl/egl.prism --constants 'N=5,L=2' --expvisittimes --eqsolver 'gmm++' '--gmm++:method' gmres --engine sparse --timemem --precision 0.001 --exportresult results_evts/logs/exports/storm.sparse.gmres.0.001.egl.5-2.json
Current working directory: /rwthfs/rz/cluster/hpcwork/tq429871/evt-experiments/experiments
Time for model input parsing: 0.008s.
Time for model construction: 0.171s.
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Model type: DTMC (sparse)
States: 33790
Transitions: 34813
Reward Models: none
State Labels: 2 labels
* deadlock -> 0 item(s)
* init -> 1 item(s)
Choice Labels: none
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Computing expected visiting times ...
WARN (model-handling.h:1258): No information of state valuations available. The result output will use internal state ids. You might be interested in building the model with state valuations using --buildstateval.
Write to file results_evts/logs/exports/storm.sparse.gmres.0.001.egl.5-2.json.
Result (for 'true' states): [0.0009765625, inf] (range)
Time for model checking: 0.060s.
Performance statistics:
* peak memory usage: 72MB
* CPU time: 0.233s
* wallclock time: 0.243s