A fully parallelized and budgeted multi-level Monte Carlo method and the application to acoustic waves

التفاصيل البيبلوغرافية
العنوان: A fully parallelized and budgeted multi-level Monte Carlo method and the application to acoustic waves
المؤلفون: Baumgarten, Niklas, Krumscheid, Sebastian, Wieners, Christian
المصدر: ISSN: 2365-662X.
بيانات النشر: Karlsruher Institut für Technologie
سنة النشر: 2023
المجموعة: KITopen (Karlsruhe Institute of Technologie)
مصطلحات موضوعية: Uncertainty quantification, high performance computing, multi-level Monte Carlo method, Knapsack problem, dynamic programming, parallelization, wave propagation, ddc:510, Mathematics, info:eu-repo/classification/ddc/510
الوصف: We present a novel variant of the multi-level Monte Carlo method that effectively utilizes a reserved computational budget on a high-performance computing system to minimize the mean squared error. Our approach combines concepts of the continuation multi-level Monte Carlo method with dynamic programming techniques following Bellman’s optimality principle, and a new parallelization strategy based on a single distributed data structure. Additionally, we establish a theoretical bound on the error reduction on a parallel computing cluster and provide empirical evidence that the proposed method adheres to this bound. We implement, test, and benchmark the approach on computationally demanding problems, focusing on its application to acoustic wave propagation in high-dimensional random media.
نوع الوثيقة: book
report
وصف الملف: application/pdf
اللغة: English
العلاقة: CRC 1173 Preprint; info:eu-repo/semantics/altIdentifier/issn/2365-662X; https://publikationen.bibliothek.kit.edu/1000161083Test; https://publikationen.bibliothek.kit.edu/1000161083/151086936Test; https://doi.org/10.5445/IR/1000161083Test
DOI: 10.5445/IR/1000161083
الإتاحة: https://doi.org/10.5445/IR/1000161083Test
https://publikationen.bibliothek.kit.edu/1000161083Test
https://publikationen.bibliothek.kit.edu/1000161083/151086936Test
حقوق: KITopen License, https://publikationen.bibliothek.kit.edu/kitopen-lizenzTest ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.2B01E2F3
قاعدة البيانات: BASE