storm.sparse.evtfull-luexact-topo

Model:	(cluster)
Parameter(s)	N = 256

	$ARTIFACT_DIR/bin/storm --statistics --prism $ARTIFACT_DIR/benchmarks/ctmc/cluster/cluster.prism --constants N=256 --prismcompat --steadystate evt --eqsolver topological --topological:eqsolver eigen --eigen:method sparselu --exact --engine sparse --timemem --exportresult results_stationary/logs/exports/storm.sparse.evtfull-luexact-topo.ignored.cluster.256.json

Sparse (default) engine Use `--prismcompat` to ensure compatibility with prism benchmark.

Walltime (MC-Time):	56.25302267074585s (NA)
Return code:	-9
Note(s):	Export file results_stationary/logs/exports/storm.sparse.evtfull-luexact-topo.ignored.cluster.256.json does not exist.

Storm 1.9.1 (dev)

Date: Fri Sep 13 11:57:57 2024
Command line arguments: --statistics --prism /rwthfs/rz/clusterevts/evt-benchmarking/benchmarks/ctmc/cluster/cluster.prism --constants N=256 --prismcompat --steadystate evt --eqsolver topological '--topological:eqsolver' eigen '--eigen:method' sparselu --exact --engine sparse --timemem --exportresult results_stationary/logs/exports/storm.sparse.evtfull-luexact-topo.ignored.cluster.256.json
Current working directory: /rwthfs/rz/cluster/hpcwork/tq429871/evt-experiments/experiments

 WARN (EigenEquationSolverSettings.cpp:142): Eigen is not selected as the preferred equation solver, so setting options for eigen might have no effect.
 WARN (Program.cpp:238): The input model is a CTMC, but uses probabilistic commands like they are used in PRISM. Consider rewriting the commands to use Markovian commands instead.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
Time for model input parsing: 0.002s.

 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
 WARN (Program.cpp:1633): The model uses synchronizing Markovian commands. This may lead to unexpected verification results, because of unclear semantics.
Time for model construction: 31.600s.

-------------------------------------------------------------- 
Model type: 	CTMC (sparse)
States: 	2373652
Transitions: 	11583520
Reward Models:  none
State Labels: 	2 labels
   * deadlock -> 0 item(s)
   * init -> 1 item(s)
Choice Labels: 	none
-------------------------------------------------------------- 

Computing steady-state probabilities ...