{
  "annotation_id": "a7051f09-ba48-4697-b690-03c373acbac2",
  "date_created": "2026-03-02T18:01:14.582000Z",
  "date_modified": "2026-03-02T18:01:14.582000Z",
  "file_hash": "3eb949bb93879529fdd026a37958842f67ab2c6ba0c1e501218818e9e9bc9a32",
  "private": false,
  "record": {
    "abstract": "The new Cell processor represents a turning point for computing intensive\napplications. Here, I show that for molecular dynamics it is possible to reach\nan impressive sustained performance in excess of 30 Gflops with a peak of 45\nGflops for the non-bonded force calculations, over one order of magnitude\nfaster than a single core standard processor.",
    "arxiv_id": "physics/0611201",
    "authors": [
      "G. De Fabritiis"
    ],
    "categories": [
      "physics.comp-ph",
      "physics.bio-ph"
    ],
    "doi": "10.1016/j.cpc.2007.02.107",
    "title": "Performance of the Cell processor for biomolecular simulations",
    "url": "https://arxiv.org/abs/physics/0611201"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "674bb63e-7358-4d07-83d2-efb3c8a50b0a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}