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---
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
---