{
  "annotation_id": "7527caf6-4cbe-4827-9cec-145f2401eff6",
  "date_created": "2026-03-02T18:00:50.153000Z",
  "date_modified": "2026-03-02T18:00:50.153000Z",
  "file_hash": "3f8c4d9468b23b888a10b1db1b30b89035b2a3346271ecab280fa4a196ebf941",
  "private": false,
  "record": {
    "abstract": "The optimal allocation of replicas to a homogeneous or heterogenous set of\nprocessors is derived for parallel tempering simulations on multi-processor\nmachines. In the general case, it is possible without substantially increasing\nwall clock time to achieve nearly perfect utilization of CPU time. Random\nfluctuations in the execution times of each of the replicas do not\nsignificantly degrade the performance of the scheduler.",
    "arxiv_id": "physics/0402062",
    "authors": [
      "David J. Earl",
      "Michael W. Deem"
    ],
    "categories": [
      "physics.comp-ph",
      "cond-mat.stat-mech"
    ],
    "title": "Optimal Allocation of Replicas to Processors in Parallel Tempering   Simulations",
    "url": "https://arxiv.org/abs/physics/0402062"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "335010ff-588d-496d-85b0-ed433859f166",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}