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Course Outline
Introduction to CUDA
- Exploration of the CUDA technology landscape and ecosystem
- Understanding CUDA versioning and system compatibility
Installing CUDA
- Reviewing pre-installation prerequisites
- Downloading and deploying the CUDA Toolkit
- Verifying installation integrity and functionality
Configuring the CUDA Environment
- Setting up essential environment variables
- Configuring CUDA for multi-GPU setups
- Managing CUDA libraries and file paths
Managing CUDA Resources
- Configuring user access and permissions
- Allocating GPU resources effectively
- Utilizing CUDA resource monitoring tools
Performance Tuning and Optimization
- Profiling CUDA applications for insights
- Optimizing configurations for peak performance
- Applying best practices for ongoing optimization
CUDA Troubleshooting
- Addressing common installation and configuration challenges
- Debugging CUDA application logic
- Identifying and resolving performance bottlenecks
Advanced Topics
- Handling CUDA updates and upgrades
- Integrating CUDA with other enterprise applications
- Exploring future trends in CUDA technology
Summary and Next Steps
Requirements
- Fundamental knowledge of computer operations
- Working familiarity with operating systems, with a preference for Linux or Windows
- A strong interest in exploring parallel computing and CUDA
Target Audience
- System administrators
- IT professionals
35 Hours
