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    <title>DEV Community: Marie</title>
    <description>The latest articles on DEV Community by Marie (@marielp).</description>
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      <title>Free training : Numerical Computing With Rust on CPU</title>
      <dc:creator>Marie</dc:creator>
      <pubDate>Fri, 22 Nov 2024 10:48:00 +0000</pubDate>
      <link>https://dev.to/marielp/free-training-numerical-computing-with-rust-on-cpu-2581</link>
      <guid>https://dev.to/marielp/free-training-numerical-computing-with-rust-on-cpu-2581</guid>
      <description>&lt;p&gt;🦀 Learn and enjoy Numerical Computing With Rust on CPU (with practice!)&lt;/p&gt;

&lt;p&gt;📆 November 25, 26 &amp;amp; 27, 2024&lt;br&gt;
🔔 From 1pm to 4.30pm (UTC+1), each day&lt;br&gt;
💻Online Training in English (registration is mandatory)&lt;br&gt;
🏃‍♂️‍➡️ Trainer : Hadrien Grasland, IJCLab, CNRS&lt;/p&gt;

&lt;p&gt;This free online training is divided in three part to help you progress and acquire the skills to write efficient numerical computations for CPU platforms in Rust. &lt;/p&gt;

&lt;p&gt;1️⃣ Monday, November 25th - 1pm: Introduction to Rust for numerical computing, practical work on implementing and optimizing simple numerical computations&lt;br&gt;
2️⃣ Tuesday, November 26th - 1pm: End of the work on simple computations, followed by an introduction to the Gray-Scott reaction-diffusion model, which we will use as an example of a more complex computation for the remainder of the course (no knowledge is required).&lt;br&gt;
3️⃣ Wednesday, November 27th - 1pm: Practical work covering more advanced Rust performance optimization techniques, applied to the Gray-Scott simulation introduced on day 2.&lt;/p&gt;

&lt;p&gt;Full Programme here : &lt;a href="https://indico.in2p3.fr/event/34442/" rel="noopener noreferrer"&gt;https://indico.in2p3.fr/event/34442/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;🔎In this online training, you will learn how to write efficient numerical computations for CPU platforms in Rust. &lt;br&gt;
We will get to know Rust by manually implementing a few simple computations (squaring numbers, dot product...), then show how the underlying hardware can be used more efficiently through a combination of SIMD processing, instruction-level parallelism, and multi-threading. Armed with this fundamental knowledge, we will then scale the problem up to a more sophisticated numerical computation, the Gray-Scott reaction-diffusion model, and cover some of the more advanced performance optimization techniques that apply at this scale.&lt;/p&gt;

&lt;p&gt;Don’t forget to register! &lt;/p&gt;

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