Evaluating AI-Driven Kernel Maintenance
DynamicWebPaige · x · 2026-07-13
The core question here isn't whether AI can write a kernel from scratch, but: is there an evaluation for kernel maintenance and migration?
The author suggests that tasks like these would make better benchmarks:
- CUDA → HIP migration
- gfx942 → gfx950 architecture upgrades
- ROCm n → n+1 version migrations
- Fixing outdated autotuning configurations
The reasoning is that these tasks have natural verifiers: the old kernel itself acts as the spec, so you just need to compare behavior and results post-migration. Compared to generating kernels from scratch, these maintenance tasks are easier to standardize and quantify, making them ideal for AI agent evaluations.
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