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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

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