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We extend an off-the-shelf, executable formal semantics of C (Ellison andRosu's K Framework semantics) with the core features of CUDA-C. The hybridCPU/GPU computation model of CUDA-C presents challenges not just forprogrammers, but also for practitioners of formal methods. Our formal semanticshelps expose and clarify these issues. We demonstrate the usefulness of oursemantics by generating a tool from it capable of detecting some raceconditions and deadlocks in CUDA-C programs. We discuss limitations of ourmodel and argue that its extensibility can easily enable a wider range ofverification tasks.

Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications