Introduction to ML Compiler Optimization

• Compiler Architecture

  Understand the components of an ML compiler stack, including frontend, intermediate representation, and backend code generation.

• Graph Optimization

  Apply high-level transformations such as operator fusion, constant folding, and dead code elimination to computation graphs.

• Loop Scheduling

  Implement low-level optimizations including tiling, vectorization, and loop reordering to maximize hardware utilization.

• Auto-Tuning

  Configure and run automated search processes to identify optimal parameters for specific hardware targets.

There are no prerequisite courses for this course.

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