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Response posts/auroragpt/startup-times: ### Measuring / Calculating Startup Time posts/auroragpt/startup-times: ## Minimal Working Example posts/ai-for-physics/diffusion: 🎲 MCMC + Diffusion Sampling posts/ai-for-physics/l2hmc-qcd: 🎢 L2HMC for LQCD posts/jupyter/l2hmc-4dsu3: 🔳 `l2hmc-qcd` Example: 4D SU(3) posts/jupyter/test: 🏁 `l2hmc` Example: 2D $U(1)$ talks/incite-hackathon-2025/ezpz: LLMs on Aurora: Hands-On talks/incite-hackathon-2025/auroragpt: LLMs on Aurora: Overview talks/openskai25/ai4science: Scientific AI at Scale: AuroraGPT talks/auroragpt/alcf-hpc-workshop-2024/auroragpt-alcf-hands-on-hpc-workshop-2024: AuroraGPT: ANL's General Purpose Scientific LLM talks/openskai25/training: Scientific AI at Scale: Distributed Training posts/2025/04/28: 🔥 Building PyTorch 2.6 from Source on Aurora posts/2025/09/12: 🍹 BlendCorpus + TorchTitan @ ALCF posts/2025/09/17: 📊 `pbs-tui`: TUI for PBS Job Scheduler Monitoring posts/2025/06/01: 📰 Nice Headings posts/2025/06/02: 🧜‍♀️ Mermaid posts/2025/06/14: 🏗️ Building PyTorch 2.8 from Source on Aurora posts/2025/10/06: 🎨 Mixing Between Distributions While Training posts/2025/11/12: 🧊 Cooling Down Checkpoints: Best Practices for Model Evaluation posts/2025/05/03: 🚧 Frameworks Issue with numpy \› 2 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/2026/06/28: Migrating from Quarto to Astro: samforeman.me → samf.sh posts/2026/06/27: Local AI Apps on ALCF: Argo, Inference Endpoints, and One Gateway posts/ai-for-physics/l2hmc-qcd/2du1: 🎢 l2hmc-qcd Example: 2D U(1) posts/2026/01/07: 🎉 Happy New Year! posts/2026/01/10: 🍋 ezpz: distributed PyTorch across any hardware posts/jupyter/l2hmc/4dsu3: 🔳 l2hmc-qcd Example: 4D SU(3) posts/ai-for-physics/l2hmc-qcd/4dsu3nb/index-broken: 🕸️ l2hmc-qcd Example: 4D SU(3) 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 posts/drafts/2025/09/22: 📝 2025 Annual Report talks/2026/06/03: Production Pre-Training at Scale: The Good, the Bad, and the Restarts talks/2025/12/16: AuroraGPT: Training Foundation Models on Supercomputers
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Open SkAI2025

Sam Foreman Sep 2, 2025 09/02/25 updated: Jul 6, 2026 07/06/26 1 min read
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Sam Foreman 2025-09-02
 samf.sh / talks / openskai25 · Top 1:1