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Having the ability for Zero-RK to perform faster adjoint sensitivity is one of the top, albeit unfunded, priorities for the next major update. It would be helpful to have a conversation about your use case and other solver needs to work with Julia. If you'd like, we can set up a conference call to discuss possible collaboration on this, just reach out to me and/or Matt at our LLNL e-mails: |
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Abstract
Just a casual thread here. The acceleration of zero-RK is pretty impressive. Recently, there are a couple of undergoing Julia packages for chemical kinetic modeling in Julia, motivated by the powerful auto-differentiation and adjoint sensitivity in Julia eco-system.
One of the pain we have been experiencing is the relatively slow adjoint computation due to the stiffness. I am wondering preconditioner in zero-RK might be useful for the adjoint method as well.
None of I and Matt knows preconditioner very well. If you are interested in Julia's implementations, we could start some discussions on how to accelerate the development.
Reference
ReactionMechanismGenerator/ReactionMechanismSimulator.jl#71
https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl
https://github.com/DENG-MIT/Arrhenius.jl
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