{
  "annotation_id": "184757e1-68eb-451c-86d8-3c4022046357",
  "date_created": "2026-03-02T18:00:43.062000Z",
  "date_modified": "2026-03-02T18:00:43.062000Z",
  "file_hash": "275775da9e12cf18089b593e81c9b9ec051599905e47c14934a1a90c2d4d15f2",
  "private": false,
  "record": {
    "abstract": "The DataFlow is sub-system of the ATLAS data acquisition responsible for the\nreception, buffering and subsequent movement of partial and full event data to\nthe higher level triggers: Level 2 and Event Filter. The design of the software\nis based on OO methodology and its implementation relies heavily on the use of\nposix threads and the Standard Template Library. This article presents our\nexperience with Linux, posix threads and the Standard Template Library in the\nreal time environment of the ATLAS data flow.",
    "arxiv_id": "physics/0306113",
    "authors": [
      "S. Gadomski"
    ],
    "categories": [
      "physics.ins-det"
    ],
    "title": "Experience with multi-threaded C++ applications in the ATLAS DataFlow   software",
    "url": "https://arxiv.org/abs/physics/0306113"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ab8b0e96-a389-43a8-babb-ac534e4515fc",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}