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zn~`(?S0%>9T?n4;$!dpp;AqyzBe*JT`q>r6j$yk%^5MxKo9GM`BJ^*24=eStCvKB6`Le)0c5`hR~nCJymbnG(62qMFT+LzBCqBwd8N9r#}W Dbgc9` literal 0 HcmV?d00001 diff --git a/posts/julia-hackathon-v6-2024-news_1.md b/posts/julia-hackathon-v6-2024-news_1.md index b084470..cd9e344 100644 --- a/posts/julia-hackathon-v6-2024-news_1.md +++ b/posts/julia-hackathon-v6-2024-news_1.md @@ -73,3 +73,19 @@ iteration 1 1.43s 100.0% 1.43s 56.2MiB 100.0% 56.2MiB forward 10 73.0μs 0.0% 7.30μs 0.00B 0.0% 0.00B ─────────────────────────────────────────────────────────────────────── ``` + +## 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. + +The figure shows a viscoelastic falling block example which was run with JustRelax.jl + +~~~ +
+ FallingBlock +
+~~~ + + + From c742df71faf9bbd07ca193314dc7d216df386cc6 Mon Sep 17 00:00:00 2001 From: ChristianSchuler Date: Fri, 25 Oct 2024 13:02:20 +0200 Subject: [PATCH 2/2] changes --- posts/julia-hackathon-v6-2024-news_1.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/posts/julia-hackathon-v6-2024-news_1.md b/posts/julia-hackathon-v6-2024-news_1.md index cd9e344..5812e89 100644 --- a/posts/julia-hackathon-v6-2024-news_1.md +++ b/posts/julia-hackathon-v6-2024-news_1.md @@ -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. - -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. ~~~