GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems. - Kyle E. Niemeyer; Chih-Jen Sung (Numerical Computations with GPUs, 2014)

Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs. - Kyle E. Niemeyer; Chih-Jen Sung (J. Comput. Phys., 2014)

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics. - Kyle E. Niemeyer; Chih-Jen Sung (J. Supercomput., 2014)

UConnRCMPy: Python-based data analysis for Rapid Compression Machines. - Bryan W. Weber; Chih-Jen Sung (SciPy, 2016)

An investigation of GPU-based stiff chemical kinetics integration methods. - Nicholas J. Curtis; Kyle E. Niemeyer; Chih-Jen Sung (CoRR, 2016)

On the importance of graph search algorithms for DRGEP-based mechanism reduction methods. - Kyle E. Niemeyer; Chih-Jen Sung (CoRR, 2016)

GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems. - Kyle E. Niemeyer; Chih-Jen Sung (CoRR, 2016)

pyJac: Analytical Jacobian generator for chemical kinetics. - Kyle E. Niemeyer; Nicholas J. Curtis; Chih-Jen Sung (Comput. Phys. Commun., 2017)

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 (CoRR, 2018)

Accelerating reactive-flow simulations using vectorized chemistry integration. - Nicholas J. Curtis; Kyle E. Niemeyer; Chih-Jen Sung (Comput. Phys. Commun., 2022)