GPU Computing and SIMD/SIMT Vectorization
- K. E. Niemeyer and C. J. Sung, “Accelerating Moderately Stiff Chemical Kinetics in Reactive-Flow Simulations using GPUs,” Journal of Computational Physics 256, 854-871 (2014).
- K. E. Niemeyer and C. J. Sung, “Recent Progress and Challenges in Exploiting Graphics Processors in Computational Fluid Dynamics,” The Journal of Supercomputing 67 (2), 528-564 (2014).
- N. J. Curtis, K. E. Niemeyer, and C. J. Sung, “An Investigation of GPU-Based Stiff Chemical Kinetics Integration Methods,” Combustion and Flame 179, 312-324 (2017).
- K. E. Niemeyer, N. J. Curtis, and C. J. Sung, “pyJac: Analytical Jacobian Generator for Chemical Kinetics,” Computer Physics Communications 215, 188-203 (2017).
- N. J. Curtis, K. E. Niemeyer, and C. J. Sung, “Using SIMD and SIMT Vectorization to Evaluate Sparse Chemical Kinetic Jacobian Matrices and Thermochemical Source Terms,” Combustion and Flame 198, 186-204 (2018).