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コース概要
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
要求
- 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 時間
お客様の声 (1)
さまざまな例が非常にインタラクティブで、トレーニングの開始から終了までの間に複雑さが徐々に増していきます。
Jenny - Andheo
コース - GPU Programming with CUDA and Python
機械翻訳
