{
  "id": "parallelization",
  "code": "PTL-0067",
  "term": "Parallelization",
  "aliases": [
    "sectioning",
    "voting"
  ],
  "category": "agents",
  "definition": "Parallelization is a workflow pattern that runs several model calls simultaneously and aggregates their outputs, either by splitting a task into independent sections or by running the same task several times and voting.",
  "description": "Sectioning reduces latency and keeps each call focused, while voting improves confidence, for example by running several independent safety checks.",
  "example": null,
  "broader": [
    "agentic-workflow"
  ],
  "narrower": [],
  "related": [
    "self-consistency",
    "skeleton-of-thought",
    "mixture-of-agents"
  ],
  "introduced": null,
  "sources": [
    {
      "title": "Building effective agents",
      "authors": "Anthropic",
      "year": 2024,
      "url": "https://www.anthropic.com/research/building-effective-agents"
    }
  ],
  "url": "https://protologue.com/t/parallelization/",
  "citation": "Protologue. (2026). Parallelization. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.0.0, PTL-0067). https://protologue.com/t/parallelization/"
}