RESOLVE: Language-Agnostic Validation of GPU Kernels Through Testing, Reduction, and Proof
AI systems can now write and optimize production GPU kernels, but validating them remains an important challenge. Evaluating the kernel on a few random inputs and checking that its outputs match a trusted reference kernel within numeric tolerances is not sufficient: races can cause nondeterministic behavior that fails to manifest in tests, and numeric tolerances can hide bugs and cause false positives even after extensive calibration. To address this challenge, we present RESOLVE, which combines testing and formal verification to build a comprehensive kernel validation pipeline. It operates in three steps: First, it tests for nondeterminism using binary instrumentation that perturbs execu...
| Authors | Ashkan Vedadi Gargary, Guido Martínez, Sebastian Burckhardt et al. |
|---|---|
| Primary category | cs.PL |
| Published | 5 October 2026 |
| Last updated at source | 5 October 2026 |
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