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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 the CUDA Toolkit.
  • Verifying the installation.

Configuring the 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

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