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...
Ashkan Vedadi Gargary, Guido Martínez, S. Burckhardt et al.· 0 citations
An anecdotal account of AI agents, equipped with a CLI and a proof assistant, producing thousands of lines of machine-checked code, and the role of the human expert, whose contribution reduces to providing natural-language problem descriptions, reviewing auto-generated specifications, and occasionally supplying a key i...
Eleftherios Ioannidis, Nikhil Swamy, Gabriel Ebner et al.· Proc. ACM Program. Lang.· 1 citation
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