Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs

DOI10.1016/j.jcp.2013.09.025zbMath1349.76880arXiv1309.2710OpenAlexW2058317778MaRDI QIDQ348411

Chih-Jen Sung, Kyle E. Niemeyer

Publication date: 5 December 2016

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1309.2710

zbMATH Keywords

chemical kineticsCUDAGPUreactive-flow modelingstiff chemistry

Mathematics Subject Classification ID

Classical flows, reactions, etc. in chemistry (92E20) Reaction effects in flows (76V05) Numerical algorithms for specific classes of architectures (65Y10)

Related Items

Route to shrimps: dissipation driven formation of shrimp-shaped domains ⋮ Explicit integration with GPU acceleration for large kinetic networks ⋮ Toward a GPU-aware comparison of explicit and implicit CFD simulations on structured meshes ⋮ The art of solving a large number of non-stiff, low-dimensional ordinary differential equation systems on GPUs and CPUs ⋮ Multi-GPU unsteady 2D flow simulation coupled with a state-to-state chemical kinetics ⋮ \texttt{pyJac}: analytical Jacobian generator for chemical kinetics ⋮ PeriPy -- a high performance peridynamics package ⋮ Direct numerical simulations of turbulent reacting flows with shock waves and stiff chemistry using many-core/GPU acceleration ⋮ ERENA: a fast and robust Jacobian-free integration method for ordinary differential equations of chemical kinetics ⋮ PoKiTT: Exposing Task and Data Parallelism on Heterogeneous Architectures for Detailed Chemical Kinetics, Transport, and Thermodynamics Calculations

Uses Software

• RKC
• CUDA
• CHEMKIN
• USC-Mech II
• OpenCL
• OpenACC
• CULA

Cites Work

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