archive today's webinar and add the recording

_posts/design/2024-12-20-upcoming-training-winter-spring-2025.md

@@ -69,11 +69,11 @@ Vancouver), 11:00am Mountain (Edmonton, Calgary), and noon Central (Saskatoon, W
 
 | DATE | TOPIC | SPEAKER |
 | ------------- | --------------- | ----------------- |
-| Jan-21 | [High-level parallel stencil computations on CPUs and GPUs in Julia](https://docs.google.com/forms/d/e/1FAIpQLSc3GEzZJitJ193qOSkgT5ICNGJ-dq_B7DO8wH2PSiVBmDdqqQ/viewform){:target="_blank"} | Alex Razoumov | <!-- ParallelStencil.jl -->
+| Jan-21 | [<span style="color:blue">High-level parallel stencil computations on CPUs and GPUs in Julia</span>]({{ site.baseurl }}/programming#stencil) | Alex Razoumov | <!-- ParallelStencil.jl -->
 | Jan-28 | [Modern shell utilities](https://docs.google.com/forms/d/e/1FAIpQLSfHz4x_AMqaan-DhzjBFZNiCSvIxS2CiwIdXpnhRkfe7DfsaA/viewform){:target="_blank"} | Marie-Hélène Burle |
 | Feb-11 | [Running parallel Ray workflows across multiple cluster nodes](https://docs.google.com/forms/d/e/1FAIpQLSeGrYAQsd1iyw6j5jItNqPkxaXJTDWDM71dp-tdNCeobL4n5Q/viewform){:target="_blank"} | Alex Razoumov |
 | Feb-25 | [Bayesian inference in JAX](https://docs.google.com/forms/d/e/1FAIpQLSeBPuikey7-1Vmjj8SOX4ugY_Rg1kARe7n5JAfPmtKDgAlgiw/viewform){:target="_blank"} | Marie-Hélène Burle | <!-- one of https://github.com/blackjax-devs/blackjax, https://github.com/pymc-devs/pymc, https://github.com/google-deepmind/distrax -->
-| Mar-11 | TBA | UBC speaker |
+| Mar-11 | TBA | UBC speaker | <!-- Research Cybersecurity Hygiene training on one of the dates-->
 | Mar-25 | TBA | UBC speaker |
 | Apr-08 | TBA | UBC speaker |
 | Apr-22 | TBA | UBC speaker |

pages/programming.md

@@ -113,6 +113,36 @@ target="_blank">here</a>.)
 
 ---
 
+<a name="stencil"></a>
+#### *"High-level parallel stencil computations on CPUs and GPUs in Julia"*
+
+**Webinar** (2025-Jan-21) by Alex Razoumov
+
+In this webinar, we cover parallel stencil computations in Julia using the ParallelStencil.jl package. This
+package enables you to write high-level code for fast computations on CPUs and GPUs. These computations are
+common in all numerical simulations involving the solution of discretized partial differential equations
+(PDEs) on a grid. ParallelStencil.jl provides high-level functions for computing derivatives and updating
+arrays. You can execute the same code on a single CPU, multiple CPUs with multithreading via Base.Threads, or
+on GPUs using either CUDA.jl (NVIDIA GPUs), AMDGPU.jl (AMD GPUs), or Metal.jl (Apple Silicon GPUs). Regardless
+of the underlying parallel hardware, all low-level communication between threads is hidden behind
+ParallelStencil.jl's macro calls, ensuring that it remains invisible in the simulation code. This framework
+makes it highly accessible to domain scientists. Furthermore, you can extend this framework to multiple
+processes, integrating ParallelStencil.jl with ImplicitGlobalGrid.jl (built upon MPI.jl). This combination
+facilitates easy scaling to multiple cluster nodes, with further parallelization on multiple cores and GPUs on
+each node. This architecture has been shown to scale efficiently to hundreds of GPUs and hundreds of cluster
+nodes.
+
+* [Online notes](https://wgpages.netlify.app/stencil)
+
+<div class="flex-video">
+	<iframe width="817" height="498" src="https://www.youtube.com/embed/ktDDCoxJfkE" title="High-level
+	parallel stencil computations on CPUs and GPUs in Julia" frameborder="0" allow="accelerometer; autoplay;
+	clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
+	referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+</div>
+
+---
+
 <a name="nextflow"></a>
 #### *"Nextflow and Julia for scalable computation"*