Animation Toolkit for HPC Talks — Deep Dive
This reference covers everything you need to produce publication-quality animations for HPC conference talks using code-based tools. It assumes you have completed the [[animation-toolkit-for-hpc-talks-beginner-guide|beginner guide]] and have Manim, Motion Canvas, and matplotlib rendering successfully.
Apache NiFi for HPC System Administrators: A Beginner's Guide
1. Overview
Apache NiFi for HPC System Administrators: Deep Dive Reference
1. Overview
Getting Started with Flux: Core Concepts and Commands for Slurm Users
Related tutorials: [[flux-system-setup|Flux System Setup]] · [[slurm-vs-flux-reference|Slurm vs Flux Reference]] · [[slurm-vs-flux-deep-dive|Slurm vs Flux Deep Dive]] · [[flux-advanced-features|Advanced Flux Features]]
HyperQueue + DETECT/Snakemake: Integration Guide
Related tutorials: [[hyperqueue-basics|HyperQueue Basics]] · [[hyperqueue-deep-dive|HyperQueue Deep Dive]]
HyperQueue Basics: Your First Tasks on an HPC Cluster
Related tutorials: [[hyperqueue-deep-dive|HyperQueue Deep Dive]] · [[hyperqueue-with-detect-snakemake|HyperQueue + DETECT/Snakemake]]
HyperQueue Deep Dive: Production HPC Task Scheduling
Related tutorials: [[hyperqueue-basics|HyperQueue Basics]] · [[hyperqueue-with-detect-snakemake|HyperQueue + DETECT/Snakemake]]
IsaacLab MetaGrasp with Apptainer on HPC: A Beginner's Guide
1. Overview
IsaacLab MetaGrasp with Apptainer on HPC: Deep Dive Reference
1. Overview
Karpathy autoresearch — Deep-Dive Reference
Karpathy's autoresearch (March 7, 2026) is a ~630-line single-file LLM training repo that hands a Claude Code agent the job of iterating on its own training code. The human edits program.md to describe research goals; the agent edits train.py to test hypotheses; every experiment runs for exactly five wall-clock minutes and reports valbpb; the agent keeps improvements and reverts regressions. This document covers the three-file architecture, the valbpb metric, the Muon optimizer, agent permission model, HPC/Slurm integration, Apple Silicon adaptation, and how autoresearch differs from conventional HPO frameworks.
Linux Cgroups Beginner Guide: Resource Management for HPC
Overview
Linux Cgroups Deep Dive: Advanced Resource Management for HPC
Overview
Oh My Pi (omp) — Deep-Dive Reference
oh-my-pi (omp) is a terminal AI coding agent built on a native Rust engine (~55k lines) with a Bun/TypeScript frontend, forked from pi-mono by Mario Zechner and extended by can1357 (Can Bölük) into a full-featured, provider-agnostic development environment. It supports 40+ LLM providers, 32 built-in tools, LSP/DAP integration, worktree-isolated subagents, and an autonomous memory system — capabilities that distinguish it sharply from single-provider agents like Claude Code or Codex CLI. This document is a peer-level reference covering installation, the full configuration model (including Anthropic, Ollama, and vLLM via SSH tunnel), the core feature set, extensibility primitives, and a practical pattern for running vLLM on a Slurm/HPC cluster. It assumes you are comfortable with the terminal, YAML/TypeScript config, and basic HPC concepts; it does not hand-hold on prerequisites. See [[omp-beginner-guide|Oh My Pi Beginner Guide]] for an introductory treatment.
Parsl Beginner Guide: Your First Parallel Workflows on HPC with Slurm
Related tutorials: [[parsl-deep-dive|Parsl Deep Dive]] · [[hyperqueue-basics|HyperQueue Basics]] · [[hyperqueue-deep-dive|HyperQueue Deep Dive]]
Parsl Deep Dive: Production HPC Workflows on Slurm
Related tutorials: [[parsl-beginner-guide|Parsl Beginner Guide]] · [[hyperqueue-deep-dive|HyperQueue Deep Dive]] · [[isaaclab-metagrasp-apptainer-hpc-deep-dive|IsaacLab MetaGrasp Deep Dive]]
Setting Up Flux as a Production System Scheduler: Replacing Slurm
Tutorial 2 of 4 in the Flux Framework series