Results 11 to 20 of about 56,790 (264)
Adaptive Mesh Refinement in Titanium [PDF]
19th IEEE International Parallel and Distributed Processing Symposium, 2005 In this paper, we evaluate Titanium's usability as a high-level parallel programming language through a case study, where we implement a subset of Chombo's functionality in Titanium. Chombo is a software package applying the adaptive mesh refinement methodology to numerical partial differential equations at the production level.
Colella, Phillip, Wen, Tong
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Local h-adaptive refinement method applied to solid mechanics
Applied and Computational Mechanics, 2020 A good spatial discretization is of prime interest in the accuracy of the finite element method. This paper presents a new refinement criterion dedicated to an h-type refinement method called Conforming Hierarchical Adaptive Refinement MethodS (CHARMS ...
Daridon L. +3 more
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Parallel Algorithms for Adaptive Mesh Refinement [PDF]
SIAM Journal on Scientific Computing, 1997 Summary: Computational methods based on the use of adaptively constructed nonuniform meshes reduce the amount of computation and storage necessary to perform many scientific calculations. The adaptive construction of such nonuniform meshes is an important part of these methods.
Mark T. Jones, Paul E. Plassmann
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Ocean Modeling with Adaptive REsolution (OMARE; version 1.0) – refactoring the NEMO model (version 4.0.1) with the parallel computing framework of JASMIN – Part 1: Adaptive grid refinement in an idealized double-gyre case [PDF]
Geoscientific Model Development, 2023 High-resolution models have become widely available for the study of the ocean's small-scale processes. Although these models simulate more turbulent ocean dynamics and reduce uncertainties of parameterizations, they are not practical for long-term ...
Y. Zhang +13 more
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SUHMO: an adaptive mesh refinement SUbglacial Hydrology MOdel v1.0 [PDF]
Geoscientific Model Development, 2023 Water flowing under ice sheets and glaciers can have a strong influence on ice dynamics, particularly through pressure changes, suggesting that a comprehensive ice sheet model should include the effect of basal hydrology.
A. M. Felden, D. F. Martin, E. G. Ng
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Algorithms, 2022 In analysis of problems with parametric spline boundaries that are immersed or inserted into an underlying domain, the discretization on the underlying domain usually does not conform to the inserted boundaries.
Tao Song, Huanyu Liao, Ganesh Subbarayan
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Issues in adaptive mesh refinement [PDF]
2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-physics simulations. The approach consists of clustering, symmetry preserving, mesh continuity, flux correction, communications, management of patches, and dynamical load balance.
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Adaptive Grid Refinement for Discrete Tomography [PDF]
, 2014 Discrete tomography has proven itself as a powerful approach to image reconstruction from limited data. In recent years, algebraic reconstruction methods have been applied successfully to a range of experimental data sets. However, the computational cost of such reconstruction techniques currently prevents routine application to large data-sets.
T. van Leeuwen (Tristan) +1 more
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Energy calibration via correlation using an adaptive mesh refinement [PDF]
EPJ Web of Conferences, 2020 Energy calibration via correlation has proven to be a powerful calibration method especially in the case of calibration data sets with low counting statistics. This work reports on an evolved version of this approach that uses an adaptive mesh refinement
Maier Daniel +2 more
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Reinforcement Learning for Adaptive Mesh Refinement
CoRR, 2021 Large-scale finite element simulations of complex physical systems governed by partial differential equations (PDE) crucially depend on adaptive mesh refinement (AMR) to allocate computational budget to regions where higher resolution is required. Existing scalable AMR methods make heuristic refinement decisions based on instantaneous error estimation ...
Jiachen Yang +11 more
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