System Resource Monitor v2.0 Release Notes

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Very Important:

Run the install.bat file to ensure GPU monitoring works properly.

Major Version Update - Complete UI Overhaul & GPU Support

Release Date: September 28, 2025
Version: v2.0 (Previously v1.2)

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🎯 Headline Features

🆕 GPU Monitoring Support

• Multi-vendor GPU support: NVIDIA, AMD, and Intel Arc GPUs
• Real-time GPU usage tracking with dedicated graph panel
• GPU memory monitoring with separate visualization
• GPU threshold alerts with customizable limits
• Advanced GPU detection with multiple fallback methods
• AMD Radeon support including RX 6800 XT and other RDNA cards
• NVIDIA support via GPUtil and nvidia-ml-py3 libraries
• Windows Performance Counter integration for broader GPU compatibility

🎨 Complete UI Modernization

• 4-panel dashboard layout replacing single graph view
• Modern card-based design with improved spacing and typography
• Enhanced color scheme with professional accent colors (#0078d4, [#107]c10, #ca5010, [#8764]b8)
• Status indicators with emoji-based visual feedback (🟢/🔴)
• Improved button styling with modern icons (▶, ⏹, 💾)
• Better typography using Segoe UI font family
• Responsive layout with proper window sizing and constraints

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📊 Enhanced Monitoring Features

Improved Resource Tracking

• Extended history length: 60 data points (previously 7) for better trend analysis
• Separate threshold controls for CPU, Memory, and GPU in organized grid layout
• Enhanced process monitoring: Top 20 processes with formatted display
• Better data export: CSV exports now include GPU metrics
• Real-time graph updates with improved performance and stability

Alert System Enhancements

• GPU threshold alerts with 60-second delay for sustained usage
• Improved notification system with more descriptive messages
• Better alert timing: CPU (60s), Memory (120s), GPU (60s)
• Enhanced visual feedback in monitoring interface

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🔧 Technical Improvements

GPU Detection & Monitoring

:::python
# New GPU monitoring methods added:
- NVIDIA ML Python (nvidia-ml-py3)
- GPUtil library support
- Windows Performance Counters
- AMD-specific monitoring via PowerShell
- Command-line tool integration (nvidia-smi)
- Hardware existence verification

Architecture Enhancements

• Robust error handling for missing GPU drivers/libraries
• Graceful fallbacks when GPU monitoring unavailable
• Multi-threaded GPU monitoring for better performance
• Enhanced diagnostic capabilities with detailed GPU detection
• Better memory management for extended monitoring sessions

Code Quality Improvements

• Modular GPU detection with multiple fallback methods
• Improved exception handling to prevent crashes
• Better threading implementation for UI responsiveness
• Enhanced logging for troubleshooting

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🆙 User Experience Improvements

Interface Enhancements

• Tabbed navigation: Resource Monitor and Top Processes tabs with emoji icons
• Organized threshold settings: Grid layout for easy configuration
• Real-time status display: Clear monitoring state indicators
• Improved process list: Better formatting with PID, name, CPU, and memory columns
• Enhanced export functionality: Better file dialogs and error handling

Usability Features

• Window centering: Automatic positioning on screen center
• Improved window sizing: 1000x850 default with min/max constraints
• Better visual hierarchy: Clear sections and information grouping
• Professional appearance: Suitable for both personal and enterprise use

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📈 Performance Optimizations

Monitoring Performance

• Optimized graph rendering with matplotlib style improvements
• Better thread management for GPU monitoring
• Reduced CPU overhead for monitoring operations
• Improved data collection with more efficient storage

Resource Usage

• Lower memory footprint despite extended history
• Better CPU utilization for monitoring threads
• Optimized GUI updates for smoother operation

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🔧 Technical Requirements

New Dependencies

:::yaml
# Added to environment.yaml:
Dependencies:
  - pip:
    - GPUtil          # GPU monitoring library
    - nvidia-ml-py3   # NVIDIA GPU support

Platform Support

• Windows: Enhanced with Performance Counter integration
• Linux: Basic GPU support with command-line tools
• GPU Compatibility: NVIDIA, AMD Radeon, Intel Arc

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🐛 Bug Fixes

Stability Improvements

• Fixed GPU monitoring crashes when hardware not available
• Resolved thread synchronization issues in monitoring loops
• Improved error handling for missing GPU drivers
• Fixed memory leaks in extended monitoring sessions

UI Fixes

• Corrected graph scaling issues with multiple metrics
• Fixed threshold input validation for decimal values
• Resolved window sizing on different screen resolutions
• Improved export dialog error handling

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⚙️ Configuration Changes

Default Threshold Updates

:::python
# New recommended defaults:
CPU_THRESHOLD = 85      # Reduced from 99.15
MEMORY_THRESHOLD = 90   # Increased from 85
GPU_THRESHOLD = 99.5    # New feature
HISTORY_LENGTH = 60     # Increased from 7

New Configuration Options

• GPU threshold setting with real-time input validation
• Extended monitoring intervals for better trend analysis
• Enhanced export options including GPU data

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Migration Guide

From v1.2 to v2.0

1. Install new dependencies: pip install GPUtil nvidia-ml-py3
2. Update environment.yaml with new packages
3. Replace all source files with v2.0 versions
4. Review threshold settings - defaults have changed
5. Test GPU monitoring with diagnostic script if needed

Breaking Changes

• Window size: Now 1000x850 (previously 800x740)
• Default thresholds: CPU threshold reduced for better alerts
• File structure: No changes to package structure

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🙏 Acknowledgments

Special thanks to users who provided feedback on GPU monitoring support, particularly those with AMD Radeon hardware, for testing the new GPU detection methods.

Full Changelog: https://github.com/Thymester/System-Resource-Monitor/compare/v1.1...v2.0