storm.sparse.gmres

Benchmark
Model: (crowds)
Parameter(s)TotalRuns = 5, CrowdSize = 10
Invocation (sparse.gmres)
	$ARTIFACT_DIR/bin/storm --statistics --prism $ARTIFACT_DIR/benchmarks/dtmc/crowds/crowds.prism --constants TotalRuns=5,CrowdSize=10 --expvisittimes --eqsolver gmm++ --gmm++:method gmres --engine sparse --timemem --precision 0.001 --exportresult results_evts/logs/exports/storm.sparse.gmres.0.001.crowds.5-10.json
Sparse (default) engine
Execution
Walltime (MC-Time):0.5371997356414795s (0.228s)
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/crowds/crowds.prism --constants 'TotalRuns=5,CrowdSize=10' --expvisittimes --eqsolver 'gmm++' '--gmm++:method' gmres --engine sparse --timemem --precision 0.001 --exportresult results_evts/logs/exports/storm.sparse.gmres.0.001.crowds.5-10.json
Current working directory: /rwthfs/rz/cluster/hpcwork/tq429871/evt-experiments/experiments

Time for model input parsing: 0.004s.

Time for model construction: 0.224s.

-------------------------------------------------------------- 
Model type: 	DTMC (sparse)
States: 	111294
Transitions: 	261444
Reward Models:  none
State Labels: 	2 labels
   * deadlock -> 3003 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.gmres.0.001.crowds.5-10.json.
Result (for 'true' states): [8.399268757e-09, inf] (range)
Time for model checking: 0.228s.

Performance statistics:
  * peak memory usage: 129MB
  * CPU time: 0.434s
  * wallclock time: 0.460s