.zenodo.json

{
  "title": "HPC Workload Optimizer (HPCOpt): A contract-driven simulation, ML, and policy-recommendation stack for HPC scheduling research",
  "description": "HPCOpt is a systems-first HPC scheduling research and engineering platform (Python + Rust) focused on reproducible policy evaluation under uncertainty. It implements deterministic discrete-event simulation, multi-format trace ingestion (SWF, Slurm sacct, PBS), runtime quantile prediction, fidelity gating, fairness/starvation-constrained recommendation, and a production API + Kubernetes deployment with full observability. Reference baselines include FIFO, EASY-backfill, and the Tsafrir/Etsion/Feitelson user-history predictor, alongside ML-driven backfill variants.",
  "creators": [
    {
      "name": "Ari, Eren",
      "affiliation": "Independent",
      "orcid": null
    }
  ],
  "upload_type": "software",
  "license": "Apache-2.0",
  "access_right": "open",
  "keywords": [
    "HPC",
    "scheduling",
    "workload management",
    "simulation",
    "backfill",
    "EASY-backfill",
    "quantile regression",
    "reinforcement learning",
    "reproducibility",
    "Slurm",
    "SWF",
    "Parallel Workloads Archive"
  ],
  "communities": [
    {"identifier": "hpc"}
  ],
  "related_identifiers": [
    {
      "identifier": "https://github.com/ErenAri/HPC-workload-optimizer",
      "relation": "isSupplementTo",
      "scheme": "url"
    }
  ]
}