storm.sparse.lu

Benchmark
Model: (haddad-monmege)
Parameter(s)N = 300, p = 0.7
Invocation (sparse.lu)
	$ARTIFACT_DIR/bin/storm --statistics --prism $ARTIFACT_DIR/benchmarks/dtmc/haddad-monmege/haddad-monmege.pm --constants N=300,p=0.7 --expvisittimes --eqsolver eigen --eigen:method sparselu --engine sparse --timemem --precision 0.001 --exportresult results_evts/logs/exports/storm.sparse.lu.0.001.haddad-monmege.300-0.7.json
Sparse (default) engine
Execution
Walltime (MC-Time):0.09517407417297363s (0.003s)
Return code:0
Log
Storm 1.9.1 (dev)

Date: Sat Sep 14 00:54:46 2024
Command line arguments: --statistics --prism /rwthfs/rz/clusterevts/evt-benchmarking/benchmarks/dtmc/haddad-monmege/haddad-monmege.pm --constants 'N=300,p=0.7' --expvisittimes --eqsolver eigen '--eigen:method' sparselu --engine sparse --timemem --precision 0.001 --exportresult results_evts/logs/exports/storm.sparse.lu.0.001.haddad-monmege.300-0.7.json
Current working directory: /rwthfs/rz/cluster/hpcwork/tq429871/evt-experiments/experiments

Time for model input parsing: 0.000s.

Time for model construction: 0.013s.

-------------------------------------------------------------- 
Model type: 	DTMC (sparse)
States: 	601
Transitions: 	1200
Reward Models:  none
State Labels: 	2 labels
   * deadlock -> 0 item(s)
   * init -> 1 item(s)
Choice Labels: 	none
-------------------------------------------------------------- 

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.lu.0.001.haddad-monmege.300-0.7.json.
Result (for 'true' states): [2, inf] (range)
Time for model checking: 0.003s.

Performance statistics:
  * peak memory usage: 66MB
  * CPU time: 0.019s
  * wallclock time: 0.019s