GPU Kernels
GPU Kernel Correctness
The Correctness Illusion, op-schema-aware seeded fuzzing, and the 26-op gpuemu corpus for LLM-generated GPU kernels.
FAQ
What is the Correctness Illusion?
The Correctness Illusion: LLM-generated GPU kernels pass the standard correctness test (KernelBench) and are still wrong in production. Published June 2026 on arXiv (2606.20128). The standard test under-specifies the input distribution, so kernels that pass can still fail on real workloads.
What is op-schema-aware seeded fuzzing?
Op-schema-aware seeded fuzzing is our technique for finding bugs in LLM-generated GPU kernels. We take the op schema (input shape, dtype, constraints) and generate seeds that exercise boundaries. 4-8x more bugs in less time than uniform sampling. arXiv:2606.27396.
Where can I get the 26-op corpus?
On Hugging Face at huggingface.co/dipankarsarkar/gpuemu-corpus. The harness is on GitHub at github.com/sarkar-dipankar/gpuemu-corpus. The Hugging Face Space at dipankarsarkar (The Correctness Illusion) lets you run it interactively.
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