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Course Outline
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
Requirements
- 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 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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