Using multiple graphics accelerators to solve the two-dimensional inverse heat conduction problem

DOI10.1016/j.cma.2018.03.024zbMath1440.74442OpenAlexW2792129423WikidataQ130090785 ScholiaQ130090785MaRDI QIDQ1985507

Imre Felde, Sándor Szénási

Publication date: 7 April 2020

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2018.03.024

zbMATH Keywords

genetic algorithminverse heat conduction problemparticle swarm optimisationgraphics acceleratorsdata parallel algorithm

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Finite element methods applied to problems in solid mechanics (74S05) Thermodynamics in solid mechanics (74A15) Thermal effects in solid mechanics (74F05) Inverse problems in equilibrium solid mechanics (74G75) Topological methods for optimization problems in solid mechanics (74P15) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32) Finite element, Galerkin and related methods applied to problems in thermodynamics and heat transfer (80M10) Numerical algorithms for specific classes of architectures (65Y10)

Related Items

Data-driven inverse modelling through neural network (deep learning) and computational heat transfer

Uses Software

• CUDA
• GPUBasedACS

Cites Work

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• Fault tolerant algorithms for heat transfer problems
• Multi-parameter estimation in combined conduction--radiation from a plane parallel participating medium using genetic algorithms
• Large-scale robust topology optimization using multi-GPU systems
• Finite element numerical integration for first order approximations on multi- and many-core architectures