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    Course Outline
Introduction to CUDA
- Overview of CUDA technology and ecosystem
 - Understanding CUDA versions and compatibility
 
Installing CUDA
- Pre-installation requirements
 - Downloading and installing CUDA Toolkit
 - Verifying the installation
 
Configuring CUDA Environment
- Setting up environment variables
 - Configuring CUDA for multiple GPUs
 - Managing CUDA libraries and paths
 
Managing CUDA Resources
- User access and permissions
 - Allocating GPU resources
 - CUDA resource monitoring tools
 
Performance Tuning and Optimization
- Profiling CUDA applications
 - Tuning for maximum performance
 - Best practices for optimization
 
CUDA Troubleshooting
- Common installation and configuration issues
 - Debugging CUDA applications
 - Resolving performance bottlenecks
 
Advanced Topics
- Updates and upgrades in CUDA
 - Integrating CUDA with other applications
 - Future trends in CUDA technology
 
Summary and Next Steps
Requirements
- Basic understanding of computer operations
 - Familiarity with operating systems, preferably Linux or Windows
 - Interest in learning about parallel computing and CUDA
 
Audience
- System administrators
 - IT professionals
 
             35 Hours
        
        
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
 - Customisation of the learning experience to achieve your goals -
 - Bespoke outlines
 - Practical hands-on exercises containing data / scenarios recognisable to the learners
 - Training scheduled on a date of your choice
 - Delivered online, onsite/classroom or hybrid by experts sharing real world experience
 
Private Group Prices RRP from €11400 online delivery, based on a group of 2 delegates, €3600 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
Testimonials (1)
Very interactive with various examples, with a good progression in complexity between the start and the end of the training.