Claude's Plan - Phase 4.md 2.1 KB
Phase 4: Performance & Parallel Processing Implementation Plan
Overview
Comprehensive enhancement of GrabZilla's download and conversion pipeline with parallel processing, GPU acceleration, and performance monitoring. Building upon the existing DownloadManager foundation.
Estimated Time: 8-12 hours Priority: High - Critical for scalability and user experience Current Status: Planning Phase
Current State Analysis
✅ Already Implemented
- DownloadManager (
src/download-manager.js):- Parallel download queue with concurrency control
- Apple Silicon detection and optimization (50% core usage for M-series)
- Event-driven architecture with progress tracking
- Queue management (add, cancel, stats)
- Integrated with main.js IPC handlers
⚠️ Needs Enhancement
Download Manager:
- No process cancellation (can't kill active downloads)
- No priority system for downloads
- No retry logic for failed downloads
- No progress events forwarded to renderer
FFmpeg Converter:
- Software encoding only (no GPU acceleration)
- No hardware acceleration detection
UI:
- No concurrent download indicators
- No queue visualization
- No CPU/GPU utilization display
Implementation Plan
Task 1: Enhance DownloadManager (2 hours)
- Add process tracking for cancellation
- Implement priority system (HIGH/NORMAL/LOW)
- Add retry logic with exponential backoff
- Forward progress events to renderer
Task 2: Implement GPU Acceleration (3 hours)
- Create GPU detection module
- Update FFmpeg converter with hardware encoding
- Add GPU toggle to settings
Task 3: UI Enhancements (2 hours)
- Add queue visualization panel
- Implement per-download progress bars
- Create performance settings panel
Task 4: Performance Monitoring (1.5 hours)
- Create performance monitor module
- Track CPU/memory/download metrics
- Integrate with IPC
Task 5: Testing & Benchmarking (2 hours)
- Create parallel processing tests
- Benchmark parallel vs sequential
- Benchmark GPU vs CPU conversion
Total: 10.5 hours
Ready to begin implementation! 🚀