Mathieu Leclaire
Romain Reuillon
Jonathan Passerat-Palmbach
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The Complex system modelisation
These methods are time consuming
Naturally parallel algorithms permit to leverage parallelism
val i = Val[Double]
val res = Val[Double]
val exploration = ExplorationTask ( i in (0.0 to 10.0 by 1.0) )
val model =
ScalaTask ("val res = i * 2") set (
inputs += i,
outputs += (i, res)
)
val env = LocalEnvironment(5)
val ex = exploration -< (model on env) start
Documentation | www.openmole.org |
Mailing-list | list.openmole.org |
Development version | next.openmole.org |
Source code | github.com/openmole |
Market place | github.com/openmole-market |
java -version
java version "1.7.0_75"
OpenJDK Runtime Environment (IcedTea 2.5.4) (7u75-2.5.4-2)
OpenJDK 64-Bit Server VM (build 24.75-b04, mixed mode)
exploration -< (model on env) >- (average hook ToStringHook())
exploration -< (model on env by 10) >- (average hook ToStringHook())
exploration -< (model on env by 10) >- (average hook ToStringHook())
errors(env)
logger.level("FINE")
Design
of
Experiments
care -r ~ -o archive.bin python script.py 42
Only from Linux to Linux
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romain.reuillon@iscpif.fr |
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mathieu.leclaire@iscpif.fr |
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j.passerat-palmbach@imperial.ac.uk |