101 citations · 168 across the 5 of their papers we have counts for
5 papers
Accelerating reactive-flow simulations using vectorized chemistry integration
Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung
The high cost of chemistry integration is a significant computational bottleneck for realistic reactive-flow simulations using operator splitting. Here we present a methodology to…
Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms
Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung
Accurately predicting key combustion phenomena in reactive-flow simulations, e.g., lean blow-out, extinction/ignition limits and pollutant formation, necessitates the use of detail…
An automated target species selection method for dynamic adaptive chemistry simulations
Nicholas Curtis, Kyle Niemeyer, Chih-Jen Sung
The relative importance index (RII) method for determining appropriate target species for dynamic adaptive chemistry (DAC) simulations using the DRGEP method is developed. The accu…
An investigation of GPU-based stiff chemical kinetics integration methods
Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung
A fifth-order implicit Runge-Kutta method and two fourth-order exponential integration methods equipped with Krylov subspace approximations were implemented for the GPU and paired…
pyJac: analytical Jacobian generator for chemical kinetics
Kyle E. Niemeyer, Nicholas J. Curtis, Chih-Jen Sung
Accurate simulations of combustion phenomena require the use of detailed chemical kinetics in order to capture limit phenomena such as ignition and extinction as well as predict po…