Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications
Programming Languages
2012-11-28 v1
Abstract
We extend an off-the-shelf, executable formal semantics of C (Ellison and Rosu's K Framework semantics) with the core features of CUDA-C. The hybrid CPU/GPU computation model of CUDA-C presents challenges not just for programmers, but also for practitioners of formal methods. Our formal semantics helps expose and clarify these issues. We demonstrate the usefulness of our semantics by generating a tool from it capable of detecting some race conditions and deadlocks in CUDA-C programs. We discuss limitations of our model and argue that its extensibility can easily enable a wider range of verification tasks.
Keywords
Cite
@article{arxiv.1211.6193,
title = {Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications},
author = {Chris Hathhorn and Michela Becchi and William L. Harrison and Adam Procter},
journal= {arXiv preprint arXiv:1211.6193},
year = {2012}
}
Comments
In Proceedings SSV 2012, arXiv:1211.5873