About the Execution
Execution Summary | ||||
Max Memory Used (MB) |
CPU Usage (ms) | I/O Wait (ms) | Competition Result | Execution Status |
4362.64 | 2067807 | 223 | MOVF | normal |
Execution Chart
We display below the execution chart for this examination (boot time has been removed).
Trace from the execution
Waiting for the VM to be ready (probing ssh)
...........................................................
=====================================================================
Generated by BenchKit 2-1668
Executing tool stratagem
Input is PolyORBNT-PT-S05J40, examination is StateSpace
Time confinement is 3600 seconds
Memory confinement is 6144 MBytes
Run identifier is r27sr-ovh1-140200263201587
=====================================================================
--------------------
content from stdout:
BK_START 1402040026873
======================================================
== This is stratagem 0.3 ==
======================================================
Runing execution (execution), instance execution
STATE_SPACE -1 -1 -1 TECHNIQUES TOPOLOGICAL DECISION_DIAGRAMS
BK_STOP 1402042095835
--------------------
content from stderr:
Exception in thread "main" java.lang.OutOfMemoryError: GC overhead limit exceeded
at scala.collection.mutable.HashMap$$anonfun$iterator$1.apply(HashMap.scala:96)
at scala.collection.mutable.HashMap$$anonfun$iterator$1.apply(HashMap.scala:96)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.IterableLike$class.copyToArray(IterableLike.scala:237)
at scala.collection.IterableViewLike$AbstractTransformed.copyToArray(IterableViewLike.scala:47)
at scala.collection.TraversableOnce$class.copyToArray(TraversableOnce.scala:241)
at scala.collection.IterableViewLike$AbstractTransformed.copyToArray(IterableViewLike.scala:47)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:249)
at scala.collection.IterableViewLike$AbstractTransformed.toArray(IterableViewLike.scala:47)
at ch.unige.cui.smv.stratagem.ipf.IPFAbstractFactory$IPF.alphaUnion(IPFAbstractFactory.scala:132)
at ch.unige.cui.smv.stratagem.sigmadd.SigmaDDInductiveIPFFactoryImpl$InductiveIPFImpl.v(SigmaDDInductiveIPFFactoryImpl.scala:102)
at ch.unige.cui.smv.stratagem.sigmadd.SigmaDDInductiveIPFFactoryImpl$$anon$1.ch$unige$cui$smv$stratagem$util$OperationCache$$super$v(SigmaDDInductiveIPFFactoryImpl.scala:41)
at ch.unige.cui.smv.stratagem.util.OperationCache$$anonfun$v$1.apply(OperationCache.scala:47)
at ch.unige.cui.smv.stratagem.util.OperationCache$$anonfun$v$1.apply(OperationCache.scala:47)
at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:189)
at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:91)
at ch.unige.cui.smv.stratagem.util.OperationCache$class.v(OperationCache.scala:47)
at ch.unige.cui.smv.stratagem.sigmadd.SigmaDDInductiveIPFFactoryImpl$$anon$1.v(SigmaDDInductiveIPFFactoryImpl.scala:41)
at ch.unige.cui.smv.stratagem.sigmadd.SigmaDDInductiveIPFFactoryImpl$$anon$1.v(SigmaDDInductiveIPFFactoryImpl.scala:41)
at ch.unige.cui.smv.stratagem.ipf.IPFAbstractFactory$IPF$$anonfun$alphaUnion$1$$anonfun$apply$2.apply(IPFAbstractFactory.scala:105)
at ch.unige.cui.smv.stratagem.ipf.IPFAbstractFactory$IPF$$anonfun$alphaUnion$1$$anonfun$apply$2.apply(IPFAbstractFactory.scala:101)
at scala.collection.GenTraversableViewLike$Filtered$$anonfun$foreach$4.apply(GenTraversableViewLike.scala:109)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.IterableLike$$anon$1.foreach(IterableLike.scala:294)
at scala.collection.GenTraversableViewLike$Filtered$class.foreach(GenTraversableViewLike.scala:108)
at scala.collection.IterableViewLike$$anon$5.foreach(IterableViewLike.scala:86)
at ch.unige.cui.smv.stratagem.ipf.IPFAbstractFactory$IPF$$anonfun$alphaUnion$1.apply(IPFAbstractFactory.scala:101)
at ch.unige.cui.smv.stratagem.ipf.IPFAbstractFactory$IPF$$anonfun$alphaUnion$1.apply(IPFAbstractFactory.scala:97)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
Sequence of Actions to be Executed by the VM
This is useful if one wants to reexecute the tool in the VM from the submitted image disk.
set -x
# this is for BenchKit: configuration of major elements for the test
export BK_INPUT="PolyORBNT-PT-S05J40"
export BK_EXAMINATION="StateSpace"
export BK_TOOL="stratagem"
export BK_RESULT_DIR="/srv/fko/BK_RESULTS/OUTPUTS"
export BK_TIME_CONFINEMENT="3600"
# this is specific to your benchmark or test
export BIN_DIR="$HOME/BenchKit/bin"
# remove the execution directoty if it exists (to avoid increse of .vmdk images)
if [ -d execution ] ; then
rm -rf execution
fi
tar xzf /home/mcc/BenchKit/INPUTS/PolyORBNT-PT-S05J40.tgz
mv PolyORBNT-PT-S05J40 execution
# this is for BenchKit: explicit launching of the test
cd execution
echo "====================================================================="
echo " Generated by BenchKit 2-1668"
echo " Executing tool stratagem"
echo " Input is PolyORBNT-PT-S05J40, examination is StateSpace"
echo " Time confinement is $BK_TIME_CONFINEMENT seconds"
echo " Memory confinement is 6144 MBytes"
echo " Run identifier is r27sr-ovh1-140200263201587"
echo "====================================================================="
echo
echo "--------------------"
echo "content from stdout:"
echo
echo -n "BK_START "
date -u +%s%3N
timeout -s 9 $BK_TIME_CONFINEMENT bash -c "/home/mcc/BenchKit/BenchKit_head.sh 2> STDERR ; echo ; echo -n \"BK_STOP \" ; date -u +%s%3N"
if [ $? -eq 137 ] ; then
echo
echo "BK_TIME_CONFINEMENT_REACHED"
fi
echo
echo "--------------------"
echo "content from stderr:"
echo
cat STDERR ;