storm.sparse.lu

Benchmark
Model: (crowds)
Parameter(s)TotalRuns = 4, CrowdSize = 15
Invocation (sparse.lu)
	$ARTIFACT_DIR/bin/storm --statistics --prism $ARTIFACT_DIR/benchmarks/dtmc/crowds/crowds.prism --constants TotalRuns=4,CrowdSize=15 --expvisittimes --eqsolver eigen --eigen:method sparselu --engine sparse --timemem --precision 0.001 --exportresult results_evts/logs/exports/storm.sparse.lu.0.001.crowds.4-15.json
Sparse (default) engine
Execution
Walltime (MC-Time):0.6475715637207031s (0.319s)
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=4,CrowdSize=15' --expvisittimes --eqsolver eigen '--eigen:method' sparselu --engine sparse --timemem --precision 0.001 --exportresult results_evts/logs/exports/storm.sparse.lu.0.001.crowds.4-15.json
Current working directory: /rwthfs/rz/cluster/hpcwork/tq429871/evt-experiments/experiments

Time for model input parsing: 0.004s.

Time for model construction: 0.256s.

-------------------------------------------------------------- 
Model type: 	DTMC (sparse)
States: 	119800
Transitions: 	352360
Reward Models:  none
State Labels: 	2 labels
   * deadlock -> 3876 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.crowds.4-15.json.
Result (for 'true' states): [6.839723571e-08, inf] (range)
Time for model checking: 0.319s.

Performance statistics:
  * peak memory usage: 156MB
  * CPU time: 0.542s
  * wallclock time: 0.582s