# 🎙️ Talks
Sam Foreman

- [📆 2025](#calendar-2025)
- [📆 2024](#calendar-2024)
- [📆 2023](#calendar-2023)
- [📆 2022](#calendar-2022)
- [📆 2020](#calendar-2020)

> [!TIP]
>
> ### \[HTML ⇆ Reveal.js\]
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> Convert from HTML to slideshow version of a page by appending
> `/slides` to the end of its URL, e.g.
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> - HTML: <https://samforeman.me/talks/ai-for-science-2024/>
> - Slides: <https://samforeman.me/talks/ai-for-science-2024/slides>

 

<div id="listing-talks-default">

</div>

## 📆 2025

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>
> ### <span class="dim-text">[AuroraGPT: Training Foundation Models on Supercomputers](../talks/2025/12/16/slides.html) @ ANL \[12/2025\]</span>
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="https://samforeman.me/talks/2025/12/16/slides.html?view=scroll" title="Training Foundation Models on Supercomputers" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[Training Foundation Models on Supercomputers](../talks/2025/10/24/slides.html) @ UIUC \[10/2025\]</span>
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="https://samforeman.me/talks/2025/10/24/slides.html?view=scroll" title="Training Foundation Models on Supercomputers" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[Training Foundation Models on Supercomputers](../talks/2025/10/15/slides.html) @ Georgia Institute of Technology \[10/2025\]</span>
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="https://samforeman.me/talks/2025/10/15/slides.html?view=scroll" title="Training Foundation Models on Supercomputers" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[AERIS: Argonne Earth Systems Model](../talks/2025/10/08/index.html) @ [2025 ALCF Hands On HPC Workshop](https://www.alcf.anl.gov/events/2025-alcf-hands-hpc-workshop) \[10/2025\]</span>
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="https://samforeman.me/talks/2025/10/08/slides.html?view=scroll" title="AERIS: Argonne Earth Systems Model" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[Training Foundation Models on Supercomputers](../talks/2025/09/24/index.html) @ [2025 ALCF Hands On HPC Workshop](https://www.alcf.anl.gov/events/2025-alcf-hands-hpc-workshop) \[09/2025\]</span>
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="https://samforeman.me/talks/2025/09/24/slides.html?view=scroll" title="Training Foundation Models on Supercomputers" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[Scientific AI at Scale: AI for Science](../talks/openskai25/ai4science/index.html) @ [Open SkAI 2025](https://www.openskai-conference.org) \[09/2025\]</span>
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="https://samforeman.me/talks/openskai25/ai4science/slides.html?view=scroll" title="Scientific AI at Scale: AI for Science" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[Scientific AI at Scale: Distributed Training](../talks/openskai25/training/index.html) @ [Open SkAI 2025](https://www.openskai-conference.org/) \[09/2025\]</span>
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="https://samforeman.me/talks/openskai25/training/slides.html?view=scroll" title="Scientific AI at Scale: Distributed Training" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[Large Scale Training on Diverse Accelerators](../talks/AuroraGPT-SIAM25/index.html) @ [Scalable Deep Learning, *SIAM AN2025*](https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=84772) \[07/2025\]</span>
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="https://samforeman.me/talks/AuroraGPT-SIAM25/slides.html?view=scroll" title="AuroraGPT: Large Scale Training on Diverse Accelerators" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[LLMs on Aurora: 🌌 AuroraGPT](../talks/incite-hackathon-2025/AuroraGPT/index.html) @ [*2025 ALCF INCITE GPU Hackathon*](https://www.alcf.anl.gov/events/alcf-incite-gpu-hackathon) \[05/2025\]</span>
>
> - [🎥 video](https://www.youtube.com/watch?v=KJBbR_oFO2E)
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="https://samforeman.me/talks/incite-hackathon-2025/auroragpt/slides?view=scroll/section#/section" title="LLMs on Aurora: AuroraGPT" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[LLMs on Aurora: 🍋 ezpz](../talks/incite-hackathon-2025/ezpz/index.html) @ [*2025 ALCF INCITE GPU Hackathon*](https://www.alcf.anl.gov/events/alcf-incite-gpu-hackathon) \[05/2025\]</span>
>
> - [🎥 video](https://www.youtube.com/watch?v=15ZK9REQiBo)
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="https://samforeman.me/talks/incite-hackathon-2025/ezpz/slides?view=scroll/section#/section" title="🍋 ezpz on Aurora" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[AuroraGPT: Foundation Models for Science](../talks/aurora-gpt-fm-for-electric-grid/index.html) @ [*Foundation Models for the Electric Grid*](https://www.alcf.anl.gov/alcf-ai-science-training-series) \[02/2025\]</span>
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="/talks/aurora-gpt-fm-for-electric-grid/slides.html?view=scroll" title="AuroraGPT: Foundation Models for Science" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

## 📆 2024

> [!TIP]
>
> ### <span class="dim-text">[Parallel Training Methods](../talks/ai-for-science-2024/index.html) @ [*AI-for-Science on Supercomputers*](https://www.alcf.anl.gov/alcf-ai-science-training-series) \[11/2024\]</span>
>
> - [🎥 video](https://www.youtube.com/watch?v=4ltulBj4oVk)
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="/talks/ai-for-science-2024/slides.html?view=scroll" title="Parallel Training Methods" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[AuroraGPT](../talks/AuroraGPT/alcf-hpc-workshop-2024/index.html) @ [*2024 ALCF Hands-On HPC Workshop*](https://www.alcf.anl.gov/events/2024-alcf-hands-hpc-workshop) \[10/2024\]</span>
>
> - [🎥 video](https://www.youtube.com/watch?v=15ZK9REQiBo)
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck" loading="lazy" src="/talks/AuroraGPT/alcf-hpc-workshop-2024/slides.html?view=scroll" title="AuroraGPT" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[Machine Learning and Foundation Models at Scale](../talks/alcf-hpc-workshop-2024/index.html) @ [*2024 ALCF Hands-On HPC Workshop*](https://www.alcf.anl.gov/events/2024-alcf-hands-hpc-workshop) \[10/2024\]</span>
>
> <div class="reveal-full-page">
>
> <iframe class="slide-deck" loading="lazy" src="https://samforeman.me/talks/alcf-hpc-workshop-2024/slides?view=scroll/section#/section" title="Machine Learning and Foundation Models at Scale" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>
>
> </div>

> [!TIP]
>
> ### <span class="dim-text">[AuroraGPT](../talks/hpc-user-forum/index.html) @ [*HPC User Forum*, 2024](https://www.hpcuserforum.com/hpc-user-forum-fall-2024/) \[09/2024\]</span>
>
> <iframe class="slide-deck reveal-full-page" loading="lazy" src="/talks/hpc-user-forum/slides.html?view=scroll" title="AuroraGPT" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[Training LLMs at Scale](../talks/llms-at-scale/) @ [*ATPESC*, 2024](https://extremecomputingtraining.anl.gov/atpesc-2024/) \[08/2024\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="/talks/llms-at-scale/slides.html?view=scroll" title="Training LLMs at Scale" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[LLMs on Polaris](https://samforeman.me/talks/llms-on-polaris/slides.html) @ [*Center for Scientific Foundation Models*, Summer School 24’](https://scifm.ai/summer_school.html) \[07/2024\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="/talks/llms-on-polaris/slides.html?view=scroll" title="LLMs on Polaris" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[Parallel Training Techniques](https://github.com/saforem2/parallel-training-slides) @ [*AI-4-Science Training Series*](https://github.com/argonne-lcf/ai-science-training-series/tree/main/06_parallel_training) \[03/2024\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/parallel-training-slides?view=scroll" title="Parallel Training Techniques" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[LLMs from Scratch](https://saforem2.github.io/llm-workshop-talk) @ [LLM Tutorial Workshop](https://github.com/argonne-lcf/llm-workshop) \[02/2024\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/llm-workshop-talk" title="LLMs from Scratch" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

## 📆 2023

> [!TIP]
>
> ### <span class="dim-text">[Creating Small(-ish) LLMs](https://saforem2.github.io/LLM-tutorial) @ [LLM Tutorial Workshop (1)](https://github.com/brettin/llm_tutorial) \[11/2023\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/LLM-tutorial" title="Creating Small(-ish) LLMs" align="center" frameborder="0" webkitallowfullscreen allowfullscreen > </iframe>

> [!TIP]
>
> ### <span class="dim-text">[Exascale Science on Aurora](https://saforem2.github.io/oneapi-talk) @ [Intel oneAPI Workshop @ UIC](https://www.alcf.anl.gov/events/alcf-hands-hpc-workshop) \[10/2023\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/oneapi-talk" title="Exascale Science on Aurora" align="center" frameborder="0" webkitallowfullscreen allowfullscreen > </iframe>

> [!TIP]
>
> ### <span class="dim-text">[LLM Lunch Talk](https://saforem2.github.io/llm-lunch-talk) @ [ALCF Hands On HPC Workshop](https://www.alcf.anl.gov/events/alcf-hands-hpc-workshop) \[10/2023\]</span>
>
> - [🎥 video](https://www.youtube.com/watch?v=mSx9RVd00xU)
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/llm-lunch-talk/#/section" title="LLMs on Polaris" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[Scaling LLMs for Science](https://saforem2.github.io/scaling4science) @ [Data-Intensive Computing + AI/ML at Scale](https://events.cels.anl.gov/event/426/overview) \[08/2023\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/scaling4science/#/section" title="Scaling LLMs for Science and Ongoing Collaborations" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[MLMC: Machine Learning Monte Carlo](https://saforem2.github.io/lattice23) @ [Lattice 2023](https://indico.fnal.gov/event/57249/contributions/271305/) \[07/2023\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/lattice23/#/title-slide" title="MLMC: Machine Learning Monte Carlo" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[Generative Modeling and Efficient Sampling](https://saforem2.github.io/lqcd-pasc23/) @ [PASC23](https://pasc23.pasc-conference.org/) \[07/2023\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/lqcd-pasc23/" title="Generative Modeling and Efficient Sampling" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[Efficient Sampling for LGT](https://saforem2.github.io/deep-fridays) @ [Deep Fridays @ U. Bologna](https://www.cs.unibo.it/~asperti/deep_fridays.html) \[04/2023\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/deep-fridays/" title="Efficient Sampling for LGT" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

## 📆 2022

> [!TIP]
>
> ### <span class="dim-text">[Large Scale Training](https://saforem2.github.io/ai4sci-large-scale-training) @ [AI4Science on Supercomputers (ALCF)](https://github.com/argonne-lcf/ai-science-training-series) \[11/2022\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/ai4sci-large-scale-training/#" title="Large Scale Training" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[Hyperparameter Management](https://saforem2.github.io/hparam-management-sdl2022/) @ [ALCF SDL Workshop](https://www.alcf.anl.gov/events/2022-alcf-simulation-data-and-learning-workshop) \[10/2022\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/hparam-management-sdl2022" title="Hyperparameter Management" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[Statistical Learning](https://saforem2.github.io/ATPESC-StatisticalLearning) @ [ATPESC 2022](https://extremecomputingtraining.anl.gov/) \[08/2022\]</span>
>
> - [📕 accompanying
>   notebook](https://github.com/argonne-lcf/ATPESC_MachineLearning/blob/master/00_statisticalLearning/src/atpesc/notebooks/statistical_learning.ipynb)
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/ATPESC-StatisticalLearning/#/" title="Statistical Learning" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>
> &#10;:::
> &#10;::: {.callout-tip icon="false" title="[[Scientific Data Science: An Emerging Symbiosis](https://saforem2.github.io/anl-job-talk/) @ ANL (05/2022)]{.dim-text}" collapse="true" style="width:100%;background-color: rgba(0,0,0,0.0)!important;"}
> &#10;```{=html}
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/anl-job-talk" title="Scientific Data Science" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[Machine Learning in HEP](https://saforem2.github.io/physicsSeminar) @ UNC Greensboro \[03/2022\]</span>
>
> - [Machine Learning in
>   HEP](https://saforem2.github.io/physicsSeminar), at UNC Greensboro,
>   March 2022
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/physicsSeminar" title="Machine Learning in HEP" align="center" frameborder="0" webkitallowfullscreen allowfullscreen style="width:100%!important; "></iframe>
> &#10;:::
> &#10;## 📆 2021
> &#10;::: {.callout-tip icon="false" title="[[Accelerated Sampling Methods for LGT](https://saforem2.github.io/l2hmc-dwq25/), @ [DWQ @ 25 \[BNL\]](https://indico.bnl.gov/event/13576/) \[12/2021\]]{.dim-text}" collapse="true" style="width:100%; background-color: rgba(0,0,0,0.0)!important;"}
> &#10;```{=html}
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/l2hmc-dwq25/" title="Accelerated Sampling Methods for LGT" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[Training Topological Samplers for LGT](https://saforem2.github.io/l2hmc_talk_ect2021) @ [ML4HEP, ECT\* Trento](https://indico.ectstar.eu/event/77/contributions/2349/) \[09/2021\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://saforem2.github.io/l2hmc_talk_ect2021" title="Training Topological Samplers for LGT" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>

> [!TIP]
>
> ### <span class="dim-text">[l2hmc-qcd](https://github.com/saforem2/l2hmc-qcd) @ MIT Lattice Group Seminar \[2021\]</span>
>
> [l2hmc-qcd](https://github.com/saforem2/l2hmc-qcd) at the *MIT Lattice
> Group Seminar*, 2021

> [!TIP]
>
> ### <span class="dim-text">[Deep Learning HMC for Improved Gauge Generation](https://bit.ly/mainz21) @ [ML in LQCD Workshop](https://bit.ly/mainz21_overview) \[2021\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://slides.com/samforeman/dlhmc/embed" title="Deep Learning HMC for Improved Gauge Generation" scrolling="no" frameborder="0" webkitallowfullscreen allowfullscreen style="aspect-ratio:1.3671875;"></iframe>

## 📆 2020

> [!TIP]
>
> ### <span class="dim-text">[Machine Learning for Lattice QCD](https://slides.com/samforeman/l2hmc-qcd/embed) @ U. Iowa \[2020\]</span>
>
> <iframe class="slide-deck" loading="lazy" src="https://slides.com/samforeman/l2hmc-qcd/embed" title="Machine Learning for Lattice QCD" align="center" frameborder="0" webkitallowfullscreen allowfullscreen  style="aspect-ratio:1.3671875;"></iframe>
