GPU Programming with NVIDIA
Training on GPU programming using NVIDIA CUDA. Learn parallel computing concepts, memory management, and building high-performance applications.
Issues
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CUDA programming
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Memory hierarchy
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Thread management
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Optimization
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Profiling
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Debugging
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Libraries
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Multi-GPU
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Algorithms
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Best practices
Benefits
- GPU programming skills
- CUDA proficiency
- Performance optimization
- HPC knowledge
Who is this training for?
Prerequisites
- C/C++ knowledge
- Parallel computing concepts
Training program
GPU architecture
- CUDA programming model
Kernels
- Thread hierarchy
- Memory management
- Memory types
- Data transfer
- Memory optimization
- Shared memory
- Optimization
Occupancy
- Profiling
- Algorithm patterns
- Performance tuning
- Advanced topics
Streams
- Multi-GPU
Libraries
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 GPU Programming with NVIDIA we recommend: C/C++ knowledge; Parallel computing 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: Software developers; HPC specialists; Data scientists.
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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?
Contact us - we'll prepare an offer tailored to your organization's needs.