From db25cc3eaf250d377ffde4f51b9374237f778da8 Mon Sep 17 00:00:00 2001 From: Andrew Winters Date: Mon, 8 Aug 2022 14:05:52 +0200 Subject: [PATCH] New section in Usage (#1193) * add Youtube line to JuliaCon talk * update usage section in the README --- README.md | 11 +++++++++-- docs/src/index.md | 7 +++++++ 2 files changed, 16 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 2313578379..93fbd7abc2 100644 --- a/README.md +++ b/README.md @@ -21,9 +21,9 @@ **Trixi.jl at JuliaCon 2022**
At this year's JuliaCon 2022, we have been present with two contributions that involve Trixi.jl: -* [Running Julia code in parallel with MPI: Lessons learned](https://live.juliacon.org/talk/LUWYRJ), +* [Running Julia code in parallel with MPI: Lessons learned](https://live.juliacon.org/talk/LUWYRJ), 26th July 2022. [Watch on YouTube](https://youtu.be/fog1x9rs71Q?t=5172), [repo](https://github.com/JuliaParallel/juliacon-2022-julia-for-hpc-minisymposium) -* [From Mesh Generation to Adaptive Simulation: A Journey in Julia](https://live.juliacon.org/talk/YSLKZJ), +* [From Mesh Generation to Adaptive Simulation: A Journey in Julia](https://live.juliacon.org/talk/YSLKZJ), 27th July 2022. [Watch on YouTube](https://youtu.be/_N4ozHr-t9E), [repo](https://github.com/trixi-framework/talk-2022-juliacon_toolchain) If you have questions about Trixi.jl or our other projects, feel free to get in touch via Slack or open an issue ♥️ @@ -168,6 +168,13 @@ of a Julia method is typically slow, with subsequent runs being much faster. For instance, in the example above the first execution of `trixi_include` takes about 20 seconds, while subsequent runs require less than 60 *milli*seconds. +### Showcase of advanced features +The presentation [From Mesh Generation to Adaptive Simulation: A Journey in Julia](https://youtu.be/_N4ozHr-t9E), +originally given as part of JuliaCon 2022, outlines how to use Trixi for an adaptive simulation +of the compressible Euler equations in two spatial dimensions on a complex domain. More details +as well as code to run the simulation presented can be found at the +[reproducibility repository](https://github.com/trixi-framework/talk-2022-juliacon_toolchain) +for the presentation. ## Documentation Additional documentation is available that contains more information on how to diff --git a/docs/src/index.md b/docs/src/index.md index c46ee9d501..481279155f 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -269,6 +269,13 @@ mean 3.94 mean 3.94 mean 3.94 mean 3.93 -------------------------------------------------------------------------------- ``` +### Showcase of advanced features +The presentation [From Mesh Generation to Adaptive Simulation: A Journey in Julia](https://youtu.be/_N4ozHr-t9E), +originally given as part of JuliaCon 2022, outlines how to use Trixi for an adaptive simulation +of the compressible Euler equations in two spatial dimensions on a complex domain. More details +as well as code to run the simulation presented can be found at the +[reproducibility repository](https://github.com/trixi-framework/talk-2022-juliacon_toolchain) +for the presentation. ## Referencing If you use Trixi in your own research or write a paper using results obtained