# Parallelization

> Running multiple model calls or subtasks at the same time and combining their outputs.

- Category: Reasoning & Inference
- Stage: Established
- Also called: Multi-sample inference, Voting
- Canonical: https://www.joelcsaji.com/ai-dictionary/parallelization

## Plain English

Ask several workers at once, then merge or vote on the result.

## Example

A code review system runs security, performance, and accessibility reviewers in parallel.

## Why it matters

Parallelization can improve speed or confidence, especially when tasks split cleanly.

## Related

- [Agent Swarm](https://www.joelcsaji.com/ai-dictionary/agent-swarm)
- [Evaluator-Optimizer](https://www.joelcsaji.com/ai-dictionary/evaluator-optimizer)
- [Test-Time Compute](https://www.joelcsaji.com/ai-dictionary/test-time-compute)

## Sources

- [Anthropic: Building Effective Agents](https://www.anthropic.com/engineering/building-effective-agents)