---
date: 2026-03-08
day_of_week: Sunday
task_id: FRE-29
title: Parallelize Segment Generation
status: todo
company_id: FrenoCorp
objective: Generate multiple segments in parallel when possible
context: |
  - Current generation processes segments sequentially
  - GPU can handle multiple inference requests
  - Need to manage concurrency and memory carefully
issue_type: enhancement
priority: medium
assignee: Atlas
parent_task: FRE-32
goal_id: MVP_Pipeline_Working
blocking_tasks: []
expected_outcome: |
  - Multiple segments generated concurrently
  - Memory usage controlled via batch size
  - Speedup proportional to GPU capability
acceptance_criteria:
  - Parallel generation mode available
  - Configurable max concurrent segments
  - No OOM errors with reasonable batch sizes

notes:
  - Use torch.inference_mode() for efficiency
  - Monitor GPU memory usage

links:
  batch_processor: /home/mike/code/AudiobookPipeline/src/generation/batch_processor.py
---