Albany: Using Component-Based Design to Develop a Flexible, Generic Multiphysics Analysis Code

Salinger, Andrew G.; Bartlett, Roscoe; Bradley, Andrew M.; Chen, Qiushi; Demeshko, Irina; Gao, Xujiao; Hansen, Glen; Mota, Alejandro; Muller, Richard P.; Nielsen, Erik; Ostien, Jakob T.; Pawlowski, Roger P.; Perego, Mauro; Phipps, Eric Todd; Sun, WaiChing; Tezaur, Irina Kalashnikova

doi:10.1615/intjmultcompeng.2016017040

Cited by 44 publications

(38 citation statements)

References 33 publications

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“…In (Spotz et al, 2015;Demeshko et al, 2018), the authors discuss the performance portability of the finite element assembly in Albany (Salinger et al, 2016) (an open-source, C++, multi-physics code) to multi/many-core architectures. Attention was focused on the Aeras global atmosphere model within Albany, which solves equations for atmospheric dynamics similar to those in HOMME (2D shallow water model, 3D hydrostatic model).…”

mentioning

confidence: 99%

HOMMEXX 1.0: A Performance Portable Atmospheric Dynamical Core for the Energy Exascale Earth System Model

Bertagna¹,

Deakin²,

Guba³

et al. 2018

Preprint

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Abstract. We present an architecture-portable and performant implementation of the atmospheric dynamical core (HOMME) of the Energy Exascale Earth System Model (E3SM). The original Fortran implementation is highly performant and scalable on conventional architectures using MPI and OpenMP. We rewrite the model in C++ and use the Kokkos library to express on-node parallelism in a largely architecture-independent implementation. Kokkos provides an abstraction of a compute node or device, layout-polymorphic multidimensional arrays, and parallel execution constructs. The new implementation achieves the same or better performance on conventional multicore computers and is portable to GPUs. We present performance data for the original and new implementations on multiple platforms, on up to 5400 compute nodes, and study several aspects of the single- and multi-node performance characteristics of the new implementation on conventional CPU, Intel Xeon Phi Knights Landing, and Nvidia V100 GPU.

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mentioning

confidence: 99%

HOMMEXX 1.0: A Performance Portable Atmospheric Dynamical Core for the Energy Exascale Earth System Model

Bertagna¹,

Deakin²,

Guba³

et al. 2018

Preprint

Self Cite

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“…We approximate the tensile test with a boundary value problem on a rectangular parallelepiped of the nominal gauge section with prescribed displacements on two opposing faces and traction free conditions on the remaining faces to effect pure tension. Finite element simulations are performed in ALBANY [Salinger et al [2016]] using the constitutive model described in this section. The engineering stress σ and strain ε corresponding to that measured in the experiments are recovered from the reaction forces, prescribed displacements, cross-sectional area and gauge length.…”

Section: Plasticity Theorymentioning

confidence: 99%

Bayesian modeling of inconsistent plastic response due to material variability

Rizzi

Khalil

Jones

et al. 2019

Computer Methods in Applied Mechanics and Engineering

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The advent of fabrication techniques such as additive manufacturing has focused attention on the considerable variability of material response due to defects and other microstructural aspects. This variability motivates the development of an enhanced design methodology that incorporates inherent material variability to provide robust predictions of performance. In this work, we develop plasticity models capable of representing the distribution of mechanical responses observed in experiments using traditional plasticity models of the mean response and recently developed uncertainty quantification (UQ) techniques. We demonstrate that the new method provides predictive realizations that are superior to more traditional ones, and how these UQ techniques can be used in model selection and assessing the quality of calibrated physical parameters. *

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“…In this work, the PSO‐based numerical solution to the bifurcation problem () is implemented into Sandia National Laboratories' open‐source finite element code Albany . The Albany code is designed for the rapid development of finite element analysis capabilities enabled through the concept of agile components ; generic building blocks of capabilities are readily assembled to meet the requirements of the ultimate analysis application.…”

Section: Particle Swarm Optimization For Bifurcation Detectionmentioning

confidence: 99%

“…Remark All the simulations presented are conducted on a PC workstation with Intel Xeon(R) CPU E3‐1241 v3 @ 3.5GHz × 8 processor. The code base is Sandia National Laboratories' Albany code .…”

Section: Numerical Examplesmentioning

confidence: 99%

Particle swarm optimization for numerical bifurcation analysis in computational inelasticity

Lai

Chen

2016

Num Anal Meth Geomechanics

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Summary An efficient and robust algorithm to numerically detect material instability or bifurcation is of great importance to the understanding and simulation of material failure in computational and applied mechanics. In this work, an intelligence optimizer, termed the particle swarm optimization, is introduced to the numerical solution of material bifurcation problem consisting of finding the bifurcation time as well as the corresponding bifurcation directions. The detection of material bifurcation is approached as a constrained minimization problem where the determinant of the acoustic tensor is minimized. The performance of the particle swarm optimization method is tested through numerical bifurcation analysis on both small and finite deformation material models in computational inelasticity with increasing complexity. Compared with conventional numerical approaches to detect material bifurcation, the proposed method demonstrates superior performance in terms of both computational efficiency and robustness. Copyright © 2016 John Wiley & Sons, Ltd.

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Albany: Using Component-Based Design to Develop a Flexible, Generic Multiphysics Analysis Code

Cited by 44 publications

References 33 publications

HOMMEXX 1.0: A Performance Portable Atmospheric Dynamical Core for the Energy Exascale Earth System Model

HOMMEXX 1.0: A Performance Portable Atmospheric Dynamical Core for the Energy Exascale Earth System Model

Bayesian modeling of inconsistent plastic response due to material variability

Particle swarm optimization for numerical bifurcation analysis in computational inelasticity

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