Advanced Optimization Passes (175)

Objective: improve real-world performance via a structured MIR pipeline.

Covered passes (foundation)

• inline (candidates counted)
• loop simplification (loop simplification candidates)
• branch folding (constant branches identified)
• scalar replacement
• dead store elimination (candidates detected)
• value numbering (reserved area)

Current integration

• MIR transformation stats expose these counters in MirTransformStats.
• Pass summary includes inline/loops/branch-fold/dead-store.
• The pipeline keeps the existing CFG simplification as the main active transformation.

Next steps

• make inline/branch-fold/dead-store transformational (not just analytical),
• add cost value (cost model),
• enable inter-block value numbering.