Cursusaanbod

Overview of CANN Optimization Capabilities

  • How inference performance is handled in CANN
  • Optimization goals for edge and embedded AI systems
  • Understanding AI Core utilization and memory allocation

Using Graph Engine for Analysis

  • Introduction to the Graph Engine and execution pipeline
  • Visualizing operator graphs and runtime metrics
  • Modifying computational graphs for optimization

Profiling Tools and Performance Metrics

  • Using CANN Profiling Tool (profiler) for workload analysis
  • Analyzing kernel execution time and bottlenecks
  • Memory access profiling and tiling strategies

Custom Operator Development with TIK

  • Overview of TIK and operator programming model
  • Implementing a custom operator using TIK DSL
  • Testing and benchmarking operator performance

Advanced Operator Optimization with TVM

  • Intro to TVM integration with CANN
  • Auto-tuning strategies for computational graphs
  • When and how to switch between TVM and TIK

Memory Optimization Techniques

  • Managing memory layout and buffer placement
  • Techniques to reduce on-chip memory consumption
  • Best practices for asynchronous execution and reuse

Real-World Deployment and Case Studies

  • Case study: performance tuning for smart city camera pipeline
  • Case study: optimizing autonomous vehicle inference stack
  • Guidelines for iterative profiling and continuous improvement

Summary and Next Steps

Vereisten

  • Strong understanding of deep learning model architectures and training workflows
  • Experience with model deployment using CANN, TensorFlow, or PyTorch
  • Familiarity with Linux CLI, shell scripting, and Python programming

Audience

  • AI performance engineers
  • Inference optimization specialists
  • Developers working with edge AI or real-time systems
 14 Uren

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