Advanced GPU Programming with NVIDIA
Advanced GPU programming training with NVIDIA CUDA. Learn advanced optimization techniques, multi-GPU programming, and professional development practices.
Issues
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Advanced optimization
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Multi-GPU
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Unified memory
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Library integration
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Profiling
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Debugging
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Scaling
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Architecture tuning
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Production code
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Best practices
Benefits
- Advanced CUDA skills
- Multi-GPU expertise
- Performance mastery
- Professional development
Who is this training for?
Prerequisites
- CUDA experience
- GPU programming basics
- Performance concepts
Training program
Memory coalescing
- Bank conflicts
- Instruction optimization
- Occupancy tuning
Multi-GPU
- Multi-device programming
Peer-to-peer
- Scaling strategies
- Load balancing
- Unified memory
- Managed memory
- Migration hints
- Performance implications
Use cases
- Libraries integration
cuBLAS
- cuDNN
Thrust
- Custom integration
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Your Learning Path
Frequently asked questions
What are the prerequisites for this training?
For Advanced GPU Programming with NVIDIA we recommend: CUDA experience; GPU programming basics; Performance concepts.
What is the format and duration of this training?
The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.
Who is this training designed for?
This training is designed for: CUDA developers; HPC engineers; Performance specialists.
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Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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Interested in this training?
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