storm.sparse.luexact

Benchmark
Model: (crowds)
Parameter(s)TotalRuns = 6, CrowdSize = 10
Invocation (sparse.luexact)
	$ARTIFACT_DIR/bin/storm --statistics --prism $ARTIFACT_DIR/benchmarks/dtmc/crowds/crowds.prism --constants TotalRuns=6,CrowdSize=10 --expvisittimes --eqsolver eigen --eigen:method sparselu --exact --engine sparse --timemem --exportresult results_evts/logs/exports/storm.sparse.luexact.ignored.crowds.6-10.json
Sparse (default) engine
Execution
Walltime (MC-Time):16.688899993896484s (14.432s)
Return code:0
Log
Storm 1.9.1 (dev)

Date: Sat Sep 14 00:54:49 2024
Command line arguments: --statistics --prism /rwthfs/rz/clusterevts/evt-benchmarking/benchmarks/dtmc/crowds/crowds.prism --constants 'TotalRuns=6,CrowdSize=10' --expvisittimes --eqsolver eigen '--eigen:method' sparselu --exact --engine sparse --timemem --exportresult results_evts/logs/exports/storm.sparse.luexact.ignored.crowds.6-10.json
Current working directory: /rwthfs/rz/cluster/hpcwork/tq429871/evt-experiments/experiments

Time for model input parsing: 0.005s.

Time for model construction: 2.050s.

-------------------------------------------------------------- 
Model type: 	DTMC (sparse)
States: 	352535
Transitions: 	833015
Reward Models:  none
State Labels: 	2 labels
   * deadlock -> 8008 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.luexact.ignored.crowds.6-10.json.
 WARN (JsonAdapter.cpp:56): Inaccurate JSON export: The number 4319/3410 will be exported as 1.2665689149560115. In total, 344524 of 352535 numbers are inaccurate.
Result (for 'true' states): [320355108098906372898808719681/1572266908616041000000000000000000000000, inf] (approx. [2.037536415e-10, inf]) (range)
Time for model checking: 14.432s.

Performance statistics:
  * peak memory usage: 5673MB
  * CPU time: 15.167s
  * wallclock time: 16.514s