machine-learning-compilers

This post explains MLIR as a compiler infrastructure framework that provides a flexible dialect stack, describing how it is used across modern ML compilers like XLA, Triton, and Mojo to progressively lower tensor operations to machine code.

FlowCompile is a compiler for structured LLM workflows that performs compile-time exploration of configurations to balance accuracy and latency, achieving up to 6.4x speedup without retraining.