Chih-Jen Sung

According to our database, Chih-Jen Sung authored at least 10 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Accelerating reactive-flow simulations using vectorized chemistry integration.

Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung

Comput. Phys. Commun., 2022

2018

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

2017

pyJac: Analytical Jacobian generator for chemical kinetics.

Kyle E. Niemeyer, Nicholas J. Curtis, Chih-Jen Sung

Comput. Phys. Commun., 2017

2016

GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems.

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

An investigation of GPU-based stiff chemical kinetics integration methods.

Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung

CoRR, 2016

UConnRCMPy: Python-based data analysis for Rapid Compression Machines.

Bryan W. Weber, Chih-Jen Sung

Proceedings of the 15th Python in Science Conference 2016 (SciPy 2016), Austin, Texas, July 11, 2016

2014

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics.

Kyle E. Niemeyer, Chih-Jen Sung

J. Supercomput., 2014

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

Kyle E. Niemeyer, Chih-Jen Sung

J. Comput. Phys., 2014

GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems.

Kyle E. Niemeyer, Chih-Jen Sung

Proceedings of the Numerical Computations with GPUs, 2014