GPU Performance Testing Suite

Professional Dual GPU Research & Optimization Platform

🎯 Project Overview

Advanced GPU performance testing and optimization suite for dual GPU research setup:

• Display GPU: AMD RX 6600 (ASRock Challenger)
• Compute GPU: NVIDIA RTX 3050 (Zotac)
• Platform: Kali Linux on ASRock X570 Taichi with Ryzen 7 5700X

📁 Project Structure

GPU_Performance_Testing/
├── scripts/           # Main testing and control scripts
├── data/             # Performance data and logs
├── configs/          # GPU profiles and configurations
├── docs/             # Documentation and research notes
├── benchmarks/       # Benchmark results and comparisons
├── monitoring/       # Real-time monitoring tools
├── logs/             # System and performance logs
├── profiles/         # GPU overclocking profiles
└── requirements.txt  # Python dependencies

🚀 Quick Start

1. Launch Main Dashboard

./scripts/gpu_dashboard.sh

2. Python Analysis Tools

# Install dependencies
pipx install -r requirements.txt

# Run performance analysis
python scripts/gpu_analyzer.py

# Generate reports
python scripts/generate_report.py

3. Individual Tools

# Monitoring
./scripts/monitor_gpus.sh

# Benchmarking
./scripts/benchmark_suite.sh

# Overclocking
./scripts/overclock_manager.sh

🔧 Key Features

Monitoring & Analysis

• Real-time monitoring for both GPUs
• Temperature logging with CSV export
• Power consumption analysis
• Performance metrics collection
• Thermal distribution studies

Benchmarking & Testing

• Comprehensive benchmark suite
• Stability testing protocols
• Memory verification tests
• Stress testing scenarios
• Performance comparison tools

Overclocking & Optimization

• Safe overclocking profiles
• Automated stability testing
• Profile management system
• Emergency safety protocols
• Performance optimization guides

Data Analysis

• Python-based analysis tools
• Performance trend analysis
• Thermal behavior studies
• Power efficiency calculations
• Automated report generation

🛠️ Hardware Configuration

• Motherboard: ASRock X570 Taichi
• CPU: AMD Ryzen 7 5700X
• RAM: System optimized for dual GPU workloads
• Display GPU: AMD RX 6600 (8GB VRAM)
• Compute GPU: NVIDIA RTX 3050 (8GB VRAM)
• Cooling: Optimized for sustained research workloads

🎯 Research Capabilities

• Dual GPU load balancing studies
• Thermal efficiency optimization
• Power consumption profiling
• Performance scaling analysis
• Stability characterization
• Memory bandwidth testing

📊 Supported Benchmarks

• OpenGL: glmark2, glxgears
• Compute: CUDA benchmarks, OpenCL tests
• Stress Tests: GPU-burn, FurMark, stress-ng
• Memory Tests: VRAM allocation and bandwidth
• Thermal Tests: Heat distribution analysis

⚠️ Safety Features

• Temperature monitoring with alerts
• Power limit enforcement
• Automatic emergency shutdown
• Safe overclocking boundaries
• Stability verification protocols

🔬 Advanced Features

• Multi-GPU coordination
• Performance prediction models
• Automated optimization
• Custom benchmark creation
• Research data export

📈 Usage Examples

Basic Performance Check

# Quick system overview
./scripts/gpu_status.sh

# Detailed performance analysis
python scripts/performance_check.py

Research Session

# Start comprehensive monitoring
./scripts/start_research_session.sh

# Run benchmark suite
./scripts/benchmark_suite.sh --full

# Generate analysis report
python scripts/analyze_session.py

🎯 Optimization Tips

1. Start with conservative settings
2. Monitor temperatures continuously
3. Use stability testing before production
4. Save working profiles
5. Document all changes

🆘 Emergency Procedures

• Immediate shutdown: sudo shutdown -h now
• Reset overclocks: ./scripts/reset_to_stock.sh
• Check cooling: ./scripts/thermal_check.sh
• System recovery: ./scripts/emergency_recovery.sh

📞 Support

• All tools include built-in help (--help flag)
• Configuration templates in configs/
• Safety guidelines in docs/safety.md
• Troubleshooting guide in docs/troubleshooting.md

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Professional GPU research platform optimized for dual GPU Kali Linux setup