AutoMat: automatic differentiation for generalized standard materials on GPUs
type: Item
instance of: scholarly article
title: AutoMat: automatic differentiation for generalized standard materials on GPUs
author: Johannes Blühdorn
author: Nicolas R. Gauger
author: Matthias Kabel
published in: Computational Mechanics
publication date: 2022-03-17T00:00:00Z
full work available at URL: https://arxiv.org/abs/2006.04391
Mathematics Subject Classification ID: 74-XX
zbMATH DE Number: 7492686
zbMATH Keywords: automatic differentiation
zbMATH Keywords: generalized standard materials
zbMATH Keywords: numerical methods for ODEs
zbMATH Keywords: FFT-based homogenization
zbMATH Keywords: GPU computing
describes a project that uses: KPP
describes a project that uses: FFTHomPy
describes a project that uses: ADOL-C
describes a project that uses: ode23
describes a project that uses: Sacado
describes a project that uses: ode45
describes a project that uses: OpenAD/F
describes a project that uses: ode113
describes a project that uses: MATLAB ODE suite
describes a project that uses: FeelMath
describes a project that uses: dco/c++
describes a project that uses: CoDiPack
describes a project that uses: CUDA
describes a project that uses: RODAS
describes a project that uses: Matlab
describes a project that uses: Ode15s
describes a project that uses: ode23s
MaRDI profile type: Publication
OpenAlex ID: W3213593815
Wikidata QID: Q113326584
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AutoMat: automatic differentiation for generalized standard materials on GPUs (DOI)
DOI: 10.1007/S00466-021-02105-2