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Duration 35 hours
Course Outline
Introduction to CUDA
- Overview of CUDA technology and its ecosystem
- Understanding CUDA versions and compatibility requirements
Installing CUDA
- Reviewing pre-installation requirements
- Downloading and installing the CUDA Toolkit
- Verifying the successful installation
Configuring the CUDA Environment
- Setting up necessary environment variables
- Configuring CUDA for multi-GPU setups
- Managing CUDA libraries and file paths
Managing CUDA Resources
- Handling user access and permissions
- Allocating GPU resources efficiently
- Utilizing CUDA resource monitoring tools
Performance Tuning and Optimization
- Profiling CUDA applications
- Tuning settings for maximum performance
- Applying best practices for optimization
Troubleshooting CUDA
- Addressing common installation and configuration problems
- Debugging CUDA applications
- Resolving performance bottlenecks
Advanced Topics
- Managing CUDA updates and upgrades
- Integrating CUDA with other applications
- Exploring future trends in CUDA technology
Summary and Next Steps
Requirements
- A basic understanding of how computers operate
- Familiarity with operating systems, ideally Linux or Windows
- An interest in exploring parallel computing and CUDA
Audience
- System administrators
- IT professionals