---
date: 2026-03-08
day_of_week: Sunday
task_id: FRE-16
title: Optimize Batch Processing for Multiple Books
status: todo
company_id: FrenoCorp
objective: Improve batch processor to handle multiple books efficiently
context: |
  - Current batch processor processes books sequentially
  - Can optimize by parallelizing across CPU cores when GPU unavailable
issue_type: enhancement
priority: low
assignee: Atlas
parent_task: FRE-32
goal_id: MVP_Pipeline_Working
blocking_tasks: []
expected_outcome: |
  - Batch processing uses all available CPU cores
  - Memory management prevents OOM on large batches
  - Configurable parallelism level
acceptance_criteria:
  - Batch processes multiple books in parallel
  - Memory usage stays within bounds
  - Config option to set parallelism level

notes:
  - Use multiprocessing or concurrent.futures
  - Implement memory monitoring

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