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PTsolvers · Oct 25, 2024 · c742df7 · c742df7
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@@ -77,9 +77,7 @@ iteration         1    1.43s  100.0%   1.43s   56.2MiB  100.0%  56.2MiB
 ## Using Enzyme.jl in order to calculate adjoint sensitivies with JustRelax.jl
 *Christian Schuler, Valentin Churavy, Albert de Montserrat, Pascal Aellig*
 
-[ParallelStencil.jl](https://github.com/omlins/ParallelStencil.jl) was made compatible with the latest [Enzyme.jl](https://github.com/EnzymeAD/Enzyme.jl) version (PR [#169](https://github.com/omlins/ParallelStencil.jl/pull/169) and PR [#170](https://github.com/omlins/ParallelStencil.jl/pull/170)). With the help of [Enzyme.jl](https://github.com/EnzymeAD/Enzyme.jl) and [ParallelStencil.jl](https://github.com/omlins/ParallelStencil.jl) the neccessary vector-Jacobian products (VJP) for the adjoint solve in [JustRelax.jl](https://github.com/PTsolvers/JustRelax.jl) are calculated. 
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-The figure shows a viscoelastic falling block example which was run with JustRelax.jl
+[ParallelStencil.jl](https://github.com/omlins/ParallelStencil.jl) has been made compatible with the latest [Enzyme.jl](https://github.com/EnzymeAD/Enzyme.jl) version (PR [#169](https://github.com/omlins/ParallelStencil.jl/pull/169) and PR [#170](https://github.com/omlins/ParallelStencil.jl/pull/170)). With the help of [Enzyme.jl](https://github.com/EnzymeAD/Enzyme.jl) and [ParallelStencil.jl](https://github.com/omlins/ParallelStencil.jl) the neccessary vector-Jacobian products (VJP) for the adjoint solve in [JustRelax.jl](https://github.com/PTsolvers/JustRelax.jl) can be calculated. Work has also been done to make the adjoint solve work on multiple GPUs/CPUs. The figure shows a viscoelastic falling block example with adjoint sensitivities w.r.t. to the viscosity and density. 
 
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