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Course Outline

Overview of the Chinese AI GPU Ecosystem

  • Comparison of Huawei Ascend, Biren, and Cambricon MLU
  • CUDA versus CANN, Biren SDK, and BANGPy models
  • Industry trends and vendor ecosystems

Preparing for Migration

  • Assessing your current CUDA codebase
  • Identifying target platforms and SDK versions
  • Installing the toolchain and setting up the environment

Code Translation Techniques

  • Porting CUDA memory access and kernel logic
  • Mapping compute grid and thread models
  • Evaluating automated versus manual translation options

Platform-Specific Implementations

  • Utilizing Huawei CANN operators and custom kernels
  • Implementing the Biren SDK conversion pipeline
  • Rebuilding models using BANGPy (Cambricon)

Cross-Platform Testing and Optimization

  • Profiling execution on each target platform
  • Conducting memory tuning and parallel execution comparisons
  • Tracking performance and iterating on optimizations

Managing Mixed GPU Environments

  • Handling hybrid deployments with multiple architectures
  • Implementing fallback strategies and device detection
  • Using abstraction layers to enhance code maintainability

Case Studies and Best Practices

  • Porting vision and NLP models to Ascend or Cambricon
  • Retrofitting inference pipelines on Biren clusters
  • Managing version mismatches and API gaps

Summary and Next Steps

Requirements

  • Practical experience in programming with CUDA or GPU-based applications
  • A solid understanding of GPU memory models and compute kernels
  • Familiarity with AI model deployment or acceleration workflows

Audience

  • GPU programmers
  • System architects
  • Porting specialists
 21 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
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Price per private group, online live training, starting from 4800 € + VAT*

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