Things like this are not multithreaded when u is an ArrayPartition:
@.. broadcast=false thread=true u=u + x * u
ArrayPartitions use a custom BroadcastStyle. FastBroadcast.jl therefore doesn't go into the fast_materialize_threaded! branch and instead calls the generic materialize!, which is not threaded:
https://github.com/YingboMa/FastBroadcast.jl/blob/ad586d83ffcac15c92969b93dd5cf0c8fd025af9/src/FastBroadcast.jl#L305-L313
Multithreaded schemes in OrdinaryDiffEq.jl are using @.. broadcast=false thread=thread ..., and OrdinaryDiffEq.jl is using an ArrayPartition for DynamicalODEProblems. Therefore, time integration is not multithreaded (even when setting thread=True()) with a DynamicalODEProblem and a scheme that works for a general ODEProblem (including all RK methods).
Not sure in which repo this should be fixed, so I just reported it here.
Things like this are not multithreaded when
uis anArrayPartition:ArrayPartitions use a customBroadcastStyle. FastBroadcast.jl therefore doesn't go into thefast_materialize_threaded!branch and instead calls the genericmaterialize!, which is not threaded:https://github.com/YingboMa/FastBroadcast.jl/blob/ad586d83ffcac15c92969b93dd5cf0c8fd025af9/src/FastBroadcast.jl#L305-L313
Multithreaded schemes in OrdinaryDiffEq.jl are using
@.. broadcast=false thread=thread ..., and OrdinaryDiffEq.jl is using anArrayPartitionforDynamicalODEProblems. Therefore, time integration is not multithreaded (even when settingthread=True()) with aDynamicalODEProblemand a scheme that works for a generalODEProblem(including all RK methods).Not sure in which repo this should be fixed, so I just reported it here.