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Presented at the 15th International Conference on Numerical Combustion in Avignon, France (19–22 April 2015).
Combustion simulations with detailed chemical kinetics require the integration of a large number of ordinary differential equation (ODEs), with at least one ODE system per spatial location solved every time step. This task is wellsuited to the massively parallel processing capabilities of graphics processing units (GPUs), where individual GPU threads concurrently integrate independent ODE systems for different spatial locations. However, the typical highorder implicit algorithms used in combustion modeling applications (e.g., VODE, LSODE) to handle stiffness involve complex logical flow that causes severe thread divergence when implemented on GPUs, thus limiting performance. Alternate algorithms are therefore needed. This talk will discuss strategies and results using integration algorithms for nonstiff and stiff chemical kinetics on GPUs.
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