3. Parallelization

Definition

A pattern that increases processing speed and efficiency by executing multiple agents or tasks concurrently.
Process large workloads in a distributed manner and merge the results.

Sequential vs Parallel Comparison

Feature Description
Sequential Source A โ†’ Summary โ†’ Source B โ†’ Summary โ†’ Result
Parallel Source A, B Search at the same time โ†’ Summary at the same time โ†’ Merge Result

Key Features

Feature Description
Concurrent Execution Process independent tasks concurrently to shorten the total execution time.
Task Allocation Divide large tasks into smaller units and assign them to multiple agents.
Result Collection Collect individual results through scatter-gather method and synthesize them.
Resource Optimization Optimize computing resources to maximize processing throughput.

Use Cases

  • Large-scale data processing and analysis
  • Concurrent multiple query processing
  • Multi-agent collaborative system
  • Distributed web crawling
  • Customer-specific content parallel creation

Framework Support

  • LangChain
  • LangGraph
  • Google ADK (ParallelAgent)

Process-GPT Parallel Processing Process