arxiv
PublishedSeptember 1, 2026 at 4:00 AM
M2K: Making the Model-Kernel Interface Explicit for Reliable CUDA Kernel Verification
Publisher summary· verbatim
arXiv:2603.24595v2 Announce Type: replace-cross Abstract: Large language model (LLM) inference systems rely on CUDA kernels for core GPU computations, yet the interface between models and kernels is implicit and poorly specified. Models and kernels evolve independently and often make incompatible as
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivA Theoretical Analysis of Test-Driven Code Generation13harxivScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video13harxivCan Graph Learning Learn Circuits?13harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery13hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗