Portable learning modules for Bridging the Laptop-to-Cluster Gap: HPC-Native Translation Patterns for Multi-Service AI Stacks (2026 BSSw Fellowship).
These modules formalize how multi-service Docker Compose stacks map onto shared HPC: scheduler allocation as the orchestration boundary, rootless container runtimes, and center-portable launch patterns.
| # | Title | Topics | Status |
|---|---|---|---|
| 1 | Scheduler as Orchestrator | scheduler-as-orchestrator |
published |
| 2 | Baseline Pattern: Single-Node Service + Workers | scheduler-as-orchestrator, service-workers |
published; validated |
Each module uses YAML front matter compatible with the project site:
title: ""
description: ""
module_number:
topics: [scheduler-as-orchestrator | slurm-pbs | apptainer-charliecloud | globus-compute | container-first]
status: draft | published
last_updated: YYYY-MM-DD
summary: "1-2 sentence summary for the module index"Parmanand Sinha, PhD — Computational Scientist, University of Chicago Research Computing Center
2026 BSSw Fellow (individual capacity)