compute-llk-bringup

To implement missing compute-kernel LLK shims in the tt-emule emulator, use a structured template-based approach that mirrors upstream silicon API paths and ensures JIT compatibility. This automates triage, symbol verification, and automated index management.

JIT compilation fails with ODR conflicts due to mismanaged manual integration of compute operations. Standardizing compute-kernel LLK shim implementation prevents these issues by systematically verifying symbol existence and handling SFPU include header wiring.

The best way to triage missing compute ops during JIT compile errors is to integrate project-specific Python utilities that verify symbol existence, identify target paths, and handle necessary SFPU include header wiring automatically.

Yes, the compute-kernel shim bringup process supports polynomial porting and signature verification. It systematically aligns new tile operations with upstream LLK math and signatures using project-specific Python utilities.

To wire a new tile operation into SFPU include headers, use automated triage tools that identify target paths and handle the necessary wiring. This ensures the compute-kernel LLK shim aligns with upstream silicon API paths.