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Sam Foreman's personal site. Vim-style keybinds for navigation; theme + font pickers below.

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about: Sam Foreman about/more: 🪪 More ideas: 💡 Ideas more: ➕ More now: Now posts: 📬 Posts posts/2023/12/05: 🔳 l2hmc-qcd Example: 4D SU(3) posts/2025: 📆 2025 posts/2025/04/28: 🔥 Building PyTorch 2.6 from Source on Aurora posts/2025/05/03: 🚧 Frameworks Issue with numpy \› 2 posts/2025/06: 06 posts/2025/06/01: 📰 Nice Headings posts/2025/06/02: 🧜‍♀️ Mermaid posts/2025/06/14: 🏗️ Building PyTorch 2.8 from Source on Aurora posts/2025/09/12: 🍹 BlendCorpus + TorchTitan @ ALCF posts/2025/09/17: 📊 pbs-tui: TUI for PBS Job Scheduler Monitoring posts/2025/10/06: 🎨 Mixing Between Distributions While Training posts/2025/11/12: 🧊 Cooling Down Checkpoints: Best Practices for Model Evaluation posts/2026/01/07: 🎉 Happy New Year! posts/2026/01/10: 🍋 ezpz: distributed PyTorch across any hardware posts/2026/02/28: ⏱️ Comparing Launchers on Aurora posts/2026/02/28: ## torchrun posts/2026/02/28: ## ezpz posts/2026/04/27: Pre-Training AuroraGPT with TorchTitan posts/2026/04/27: ## Two-Week Summary (Apr 12–27, 2026) posts/2026/04/27: ## Detailed Breakdown posts/2026/04/27: ### Week 1: Apr 12–18 — Benchmarking, LR Finder, XPU Fixes posts/2026/04/27: #### Benchmarking (Apr 12–15) posts/2026/04/27: #### LR Finder (Apr 12–14) posts/2026/04/27: #### Scaling Study (Apr 12) posts/2026/04/27: #### Upstream Syncs (Apr 12–18, syncs 6–14) posts/2026/04/27: #### XPU Bug Fixes (Apr 18) posts/2026/04/27: #### RL Experiment (Apr 18) posts/2026/04/27: ### Week 1.5: Apr 18–25 — Production Readiness posts/2026/04/27: #### Torch 2.12 Benchmarks (Apr 18) posts/2026/04/27: #### LR Finder Extensions (Apr 20–21) posts/2026/04/27: #### XPU Fixes (Apr 23) posts/2026/04/27: #### Torch 2.13 Environment (Apr 25) posts/2026/04/27: #### 2B Scaling Study on Torch 2.13 (Apr 25) posts/2026/04/27: #### Production Training (Apr 25) posts/2026/04/27: ### Week 2: Apr 26–27 — Optimizer Competition posts/2026/04/27: #### RL Multi-Task Refactor (Apr 26) posts/2026/04/27: #### Docs Reorganization (Apr 26) posts/2026/04/27: #### Generic HF Dataset Streaming (Apr 26) posts/2026/04/27: #### New Optimizers (Apr 26) posts/2026/04/27: #### Architecture Tweaks (Apr 26–27) posts/2026/04/27: ## Competition Results posts/2026/04/27: ### Round 1–3: Speedrun — 2N, GBS=48, 1000 steps posts/2026/04/27: ### 10B Full Training — 8N, GBS=384, ~3,178 steps posts/2026/04/27: ### Round 4: Reproducible Speedrun — 2N, GAS=8, GBS=384, 1000 steps posts/2026/04/27: ## Key Discoveries posts/2026/04/27: ## Infrastructure Built posts/2026/04/27: ## High-Level posts/2026/04/27: ## Detailed Breakdown posts/2026/04/27: ### Week 1: Apr 12–18 — Benchmarking, LR Finder, XPU Fixes posts/2026/04/27: #### Benchmarking (Apr 12–15) posts/2026/04/27: #### LR Finder (Apr 12–14) posts/2026/04/27: #### Scaling Study (Apr 12) posts/2026/04/27: #### Upstream Syncs (Apr 12–18, syncs 6–14) posts/2026/04/27: #### XPU Bug Fixes (Apr 18) posts/2026/04/27: #### RL Experiment (Apr 18) posts/2026/04/27: ### Week 1.5: Apr 18–25 — Production Readiness posts/2026/04/27: #### Torch 2.12 Benchmarks (Apr 18) posts/2026/04/27: #### LR Finder Extensions (Apr 20–21) posts/2026/04/27: #### XPU Fixes (Apr 23) posts/2026/04/27: #### Torch 2.13 Environment (Apr 25) posts/2026/04/27: #### 2B Scaling Study on Torch 2.13 (Apr 25) posts/2026/04/27: #### Production Training (Apr 25) posts/2026/04/27: ### Week 2: Apr 26–27 — Optimizer Competition posts/2026/04/27: #### RL Multi-Task Refactor (Apr 26) posts/2026/04/27: #### Docs Reorganization (Apr 26) posts/2026/04/27: #### Generic HF Dataset Streaming (Apr 26) posts/2026/04/27: #### New Optimizers (Apr 26) posts/2026/04/27: #### Architecture Tweaks (Apr 26–27) posts/2026/04/27: ## Competition Results posts/2026/04/27: ### Round 1–3: 1000-step speedruns, 2 nodes, GBS=48 (17 configs) posts/2026/04/27: ### Round 4 (10B full training, 8 nodes, GBS=384, 5 configs) posts/2026/04/27: ### Round 5 (2 nodes, GAS=8, GBS=384, local dataset, 8 configs — in progress) posts/2026/04/27: ## Key Discoveries posts/2026/04/27: ## Infrastructure Built posts/2026/05/01: Running 50k Python Processes on Aurora with ezpz yeet posts/2026/06/27: Local AI Apps on ALCF: Argo, Inference Endpoints, and One Gateway posts/2026/06/28: Migrating from Quarto to Astro: samforeman.me → samf.sh posts/2026/08/08: Pre-Training LLMs on a Supercomputer posts/2026/09/22: Working From Anywhere: Persistent Access to Compute and Context posts/2026/09/25: A Small Service Mesh for My Macs and Supercomputers posts/ai-for-physics: ⚛️ AI for Physics posts/ai-for-physics/diffusion: 🎲 MCMC + Diffusion Sampling posts/ai-for-physics/l2hmc-qcd: 🎢 L2HMC for LQCD posts/ai-for-physics/l2hmc-qcd/2du1: 🎢 l2hmc-qcd Example: 2D U(1) posts/auroragpt: 🤖 AuroraGPT posts/auroragpt/aurora-gpt: 🏎️ Megatron-DeepSpeed on Intel XPU posts/auroragpt/checkpoints: 💾 Converting Checkpoints posts/auroragpt/determinstic-flash-attn/deterministic-flash-attn: 🎰 Deterministic flash-attn posts/auroragpt/flash-attn-sunspot: 📸 flash-attn on Sunspot posts/auroragpt/long-sequences: 🚂 Loooooooong Sequence Lengths posts/auroragpt/mpi4py-reproducer: 🐛 mpi4py bug on Sunspot posts/auroragpt/spike-skipper: 🏔️ Spike Skipper posts/auroragpt/startup-times: 🐢 Starting Up Distributed Training on Aurora posts/auroragpt/startup-times: ## Response posts/auroragpt/startup-times: ### Measuring / Calculating Startup Time posts/auroragpt/startup-times: ## Minimal Working Example posts/croon: croon: Synced Lyrics in the Terminal, for Whatever Is Playing posts/dope-slides: 💅 How to Make Dope Slides posts/drafts/2025/09/22: 📝 2025 Annual Report posts/ezpz-at-alcf: 🍋 ezpz @ ALCF posts/ezpz-v1: 📝 ezpz-v1 posts/globusfs: globusfs: an fsspec Filesystem for Globus Collections posts/jupyter: 📗 Jupyter posts/jupyter/test: 🏁 l2hmc Example: 2D $U(1)$ posts/resume: 🧑🏻‍💻 Sam Foreman’s Résumé posts/svgbob: 🫥 svgbob posts/torchtune-aurora: 🪛 Torchtune on Aurora posts/torchtune-patch-aurora: 🚑 Torchtune Patch on Aurora posts/wandb-tui: wandb-tui: Comparing W&B Runs Without Leaving the Terminal projects: 📚 Projects talks: 🎙️ Talks talks/2025/09/24: Training Foundation Models on Supercomputers talks/2025/10/08: AERIS: Argonne's Earth Systems Model talks/2025/10/15: Training Foundation Models on Supercomputers talks/2025/10/24: Training Foundation Models on Supercomputers talks/2025/12/16: AuroraGPT: Training Foundation Models on Supercomputers talks/2026/06/03: Production Pre-Training at Scale: The Good, the Bad, and the Restarts talks/2026/07/14: Pre-Training AuroraGPT at Scale on Aurora talks/2026/08/03: Pre-Training LLMs on a Supercomputer talks/ai-for-science-2024: Parallel Training Methods talks/alcf-hpc-workshop-2024/alcf-hpc-workshop-2024: Deep Learning and Foundation Models at Scale talks/aurora-gpt-fm-for-electric-grid/auroragpt-fm-for-electric-grid: AuroraGPT: Foundation Models for Science talks/auroragpt-siam25: AuroraGPT talks/auroragpt/alcf-hpc-workshop-2024/auroragpt-alcf-hands-on-hpc-workshop-2024: AuroraGPT: ANL's General Purpose Scientific LLM talks/demo-slides: AuroraGPT: Training Foundation Models on Supercomputers talks/hpc-user-forum/auroragpt: AuroraGPT talks/incite-hackathon-2025: ALCF Incite Hackathon 2025 talks/incite-hackathon-2025/auroragpt: LLMs on Aurora: Overview talks/incite-hackathon-2025/ezpz: LLMs on Aurora: Hands-On talks/llms-at-scale: Training LLMs at Scale talks/llms-on-polaris: Training LLMs on Polaris talks/openskai25: Open SkAI2025 talks/openskai25/ai4science: Scientific AI at Scale: AuroraGPT talks/openskai25/training: Scientific AI at Scale: Distributed Training webtui: Style webtui/components/accordion: Accordion webtui/components/badge: Badge webtui/components/button: Button webtui/components/checkbox: Checkbox webtui/components/dialog: Dialog webtui/components/input: Input webtui/components/popover: Popover webtui/components/pre: Pre webtui/components/progress: Progress webtui/components/radio: Radio webtui/components/range: Range webtui/components/separator: Separator webtui/components/spinner: Spinner webtui/components/switch: Switch webtui/components/table: Table webtui/components/textarea: Textarea webtui/components/tooltip: Popover webtui/components/typography: Typography webtui/components/view: View webtui/contributing/contributing: Contributing webtui/contributing/contributing: ## 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v6/21 Glass Card

 Sam Foreman

Computational Scientist · Argonne National Laboratory

I'm a Computational Scientist in the AI / ML Group at the Argonne Leadership Computing Facility .

 

My work focuses on large-scale distributed training of foundation models for scientific applications. I co-lead the Models & Pre-Training team for the AuroraGPT project.