storm.sparse.gmres

Benchmark
Model: (crowds)
Parameter(s)TotalRuns = 5, CrowdSize = 15
Invocation (sparse.gmres)
	$ARTIFACT_DIR/bin/storm --statistics --prism $ARTIFACT_DIR/benchmarks/dtmc/crowds/crowds.prism --constants TotalRuns=5,CrowdSize=15 --expvisittimes --eqsolver gmm++ --gmm++:method gmres --engine sparse --timemem --precision 1e-06 --exportresult results_evts/logs/exports/storm.sparse.gmres.1e-06.crowds.5-15.json
Sparse (default) engine
Execution
Walltime (MC-Time):7.08668851852417s (5.686s)
Return code:0
Log
Storm 1.9.1 (dev)

Date: Sat Sep 14 00:59:48 2024
Command line arguments: --statistics --prism /rwthfs/rz/clusterevts/evt-benchmarking/benchmarks/dtmc/crowds/crowds.prism --constants 'TotalRuns=5,CrowdSize=15' --expvisittimes --eqsolver 'gmm++' '--gmm++:method' gmres --engine sparse --timemem --precision 1e-06 --exportresult results_evts/logs/exports/storm.sparse.gmres.1e-06.crowds.5-15.json
Current working directory: /rwthfs/rz/cluster/hpcwork/tq429871/evt-experiments/experiments

Time for model input parsing: 0.005s.

Time for model construction: 1.327s.

-------------------------------------------------------------- 
Model type: 	DTMC (sparse)
States: 	592060
Transitions: 	1754860
Reward Models:  none
State Labels: 	2 labels
   * deadlock -> 15504 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.1e-06.crowds.5-15.json.
Result (for 'true' states): [1.106109663e-09, inf] (range)
Time for model checking: 5.686s.

Performance statistics:
  * peak memory usage: 505MB
  * CPU time: 6.857s
  * wallclock time: 7.022s