Verifying Pipeline Implementations in OpenMP
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-84629-9_5
Reference28 articles.
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2. Atzeni, S., et al.: ARCHER: effectively spotting data races in large OpenMP applications. In: Proceedings IPDPS, pp. 53–62. IEEE (2016). https://doi.org/10.1109/IPDPS.2016.68
3. Basupalli, V., et al.: ompVerify: polyhedral analysis for the OpenMP programmer. In: Proceedings IWOMP, pp. 37–53. LNCS 6665, Springer (2011). https://doi.org/10.1007/978-3-642-21487-5_4
4. Bora, U., Das, S., Kukreja, P., Joshi, S., Upadrasta, R., Rajopadhye, S.: LLOV: a fast static data-race checker for openMP programs. TACO 17(4) (2020). https://doi.org/10.1145/3418597
5. Goncalves, R., Amaris, M., Okada, T.K., Bruel, P., Goldman, A.: OpenMP is not as easy as it appears. In: Proceedings HICSS, pp. 5742–5751. IEEE (2016). https://doi.org/10.1109/HICSS.2016.710
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1. PatEC: Pattern-Based Equivalence Checking;Model Checking Software;2021
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