趋近智
Introduction to ML Compiler Optimization
章节 1: The ML Compilation Stack
The Framework-Hardware Gap
Anatomy of an ML Compiler
AOT versus JIT Compilation
Tracing and Graph Capture
Environment Setup Practice
章节 2: Intermediate Representations
Role of Intermediate Representation
Dataflow Graphs and Dependencies
Tensor Shapes and Dtypes
Static versus Dynamic Shapes
Inspecting IR Structure
章节 3: Graph-Level Optimizations
Operator Fusion Strategies
Constant Folding and Propagation
Dead Code Elimination
Memory Layout Transformation
Common Subexpression Elimination
Implementing a Graph Pass
章节 4: Kernel and Loop Optimization
Loop Tiling and Cache Locality
Vectorization for SIMD
Loop Unrolling and Reordering
Parallelization Strategies
Memory Latency Hiding
Matrix Multiplication Practice
章节 5: Auto-Tuning and Code Generation
Defining the Search Space
Cost Models in Auto-Tuning
Automated Schedule Search
Code Generation Backends
Running an Auto-Tuning Session
Defining the Search Space
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