{
  "annotation_id": "8908633c-6cd4-4baf-8f9f-5b06e0949083",
  "date_created": "2026-03-02T18:01:21.617000Z",
  "date_modified": "2026-03-02T18:01:21.617000Z",
  "file_hash": "2620915c4244a1073a55f70ce62159e89ef679bbd68f023ea63eaa62f27bfbca",
  "private": false,
  "record": {
    "abstract": "We consider several issues related to the multidimensional integration using\na network of heterogeneous computers. Based on these considerations, we develop\na new general purpose scheme which can significantly reduce the time needed for\nevaluation of integrals with CPU intensive integrands. This scheme is a\nparallel version of the well-known adaptive Monte Carlo method (the VEGAS\nalgorithm), and is incorporated into a new integration package which uses the\nstandard set of message-passing routines in the PVM software system.",
    "arxiv_id": "physics/9710017",
    "authors": [
      "S. Veseli"
    ],
    "categories": [
      "physics.comp-ph",
      "hep-ph"
    ],
    "doi": "10.1016/S0010-4655(97)00120-3",
    "title": "Multidimensional integration in a heterogeneous network environment",
    "url": "https://arxiv.org/abs/physics/9710017"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "68e47158-26d1-4f8d-93e5-b5512b4ce2bd",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}