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Towards Standardized Evaluation of GPU Memory Safety with GMSBench — arXiv:2609.08871

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.08871
License (as archived): CC0-1.0
Archived: 2026-10-16T13:14:45.872Z
SHA-256 of the archived text: 5670321ad2fc1a2a5047078d3e221b993e95a682fb1d826a042be6d9a38aa97a
Stable URL of this page: https://metraipolis.com/documento/dc_f2dfd7181adc

How to cite

Towards Standardized Evaluation of GPU Memory Safety with GMSBench — arXiv:2609.08871 — arXiv (en), https://arxiv.org/abs/2609.08871 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_f2dfd7181adc (Metraipolis archive dc_f2dfd7181adc, sha256 5670321ad2fc1a2a5047078d3e221b993e95a682fb1d826a042be6d9a38aa97a)

BibTeX

@misc{dcf2dfd7181adc,
  title = {Towards Standardized Evaluation of GPU Memory Safety with GMSBench — arXiv:2609.08871},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.08871},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_f2dfd7181adc; sha256 5670321ad2fc1a2a5047078d3e221b993e95a682fb1d826a042be6d9a38aa97a},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.08871. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

As GPUs become increasingly integral to high-performance computing and machine learning, ensuring memory safety in GPU programs has become crucial for reliable and secure execution. However, evaluating GPU memory safety techniques remains challenging due to the lack of comprehensive and standardized benchmarks. In this paper, we present GMSBench, a GPU memory safety benchmark designed to evaluate a broad range of memory safety violations across different GPU memory spaces and execution scenarios. GMSBench comprises 149 self-contained CUDA tests spanning spatial, temporal, and concurrency errors. The suite provides a standardized foundation for the evaluation and comparative analysis of GPU memory safety mechanisms and helps expose gaps in their detection coverage. We demonstrate the utility of GMSBench by evaluating Compute Sanitizer, a widely used GPU memory error detection tool across multiple GPU architectures.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-09-09 in cs.AR).
Categorie arXiv: Cryptography and Security (cs.CR) ; Hardware Architecture (cs.AR).
Pagina del lavoro: https://arxiv.org/abs/2609.08871 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T13:02:36.905Z dalla pagina https://arxiv.org/catchup/cs.AR/2026-09-09?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).