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 Duration 21 hours

Course Outline

Introduction to Biren GPU Architecture

  • Overview of Biren and its primary use cases.
  • Hardware configuration, including cores, memory, and compute clusters.
  • Comparative analysis with NVIDIA and AMD GPUs.

Configuring the Biren Programming Environment

  • Installation of the Biren SDK and runtime components.
  • Insights into the toolchain and compiler models.
  • Essential project structures and build workflows.

GPU Programming with the Biren Stack

  • Thread and block organizational models.
  • Memory management and data transfer mechanisms.
  • Kernel development and launch strategies.

Migrating from CUDA to Biren

  • Techniques for translating existing CUDA code.
  • Common API mappings and necessary adaptations.
  • Hands-on code conversion labs and exercises.

Debugging and Profiling Strategies

  • Leveraging Biren’s debugger and profiling tools.
  • Identifying performance bottlenecks.
  • Analyzing memory access patterns for optimization.

Advanced Optimization Techniques

  • Thread scheduling and instruction pipelining.
  • Loop unrolling and efficient shared memory usage.
  • Advanced kernel tuning to maximize throughput.

Case Studies and Application Examples

  • Model training using Biren accelerators.
  • Porting and profiling vision or NLP models.
  • Performance benchmarking against CUDA/NVIDIA.

Summary and Future Directions

Requirements

  • Solid understanding of GPU architecture and parallel processing concepts.
  • Practical experience with CUDA, OpenCL, or comparable GPU programming frameworks.
  • Proficiency with deep learning libraries such as PyTorch or TensorFlow.

Target Audience

  • HPC developers.
  • AI infrastructure engineers.
  • Performance optimization specialists.

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.
Investment

Price per private group, online live training, starting from 4800 € + VAT*

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