Alumni Profiles

Kyle Felker

  • Program Years: 2014-2018
  • Academic Institution: Princeton University
  • Field of Study: Applied and Computational Mathematics
  • Academic Advisor: James Stone
  • Practicum(s):
    Princeton Plasma Physics Laboratory (2016)
  • Degree(s):
    Ph.D. Applied and Computational Mathematics, Princeton University, 2019
    M.A. Applied and Computational Mathematics, Princeton University, 2015
    B.S. Mathematics, and B.A. Physics, The University of Chicago, 2013

Current Status

Publications

Dong, G., Felker, K. G., Svyatkovskiy, A., Tang, W., & Kates-Harbeck, J. (July 2020). Fully convolutional spatio-temporal models for representation learning in plasma science. arXiv preprint arXiv:2007.10468

Stone, J.M., Tomida, K., White, C.J., & Felker, K. G., (June 2020). The Athena++ adaptive mesh refinement framework: design and magnetohydrodynamic solvers. Astrophysical Journal Supplement Series, 249(1). https://doi.org/10.3847/1538-4365/ab929b

Felker, K. G., & Stone, J. M. (December 2018). A fourth-order accurate finite volume method for ideal MHD via upwind constrained transport. Journal of Computational Physics, 375, 1365-1400. https://doi.org/10.1016/j.jcp.2018.08.025

Felker, K. G., Siegel, A. R., Smith, K. S., Romano, P. K., & Forget, B. (2014). The energy band memory server algorithm for parallel Monte Carlo transport calculations. In D. Caruge, C. Calvin, C. M. Diop, F. Malvagi, & J.-C. Trama (Eds.), SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo. EDP Sciences. https://doi.org/10.1051/snamc/201404207

Siegel, A., Smith, K., Felker, K., Romano, P., Forget, B., & Beckman, P. (April 2014). Improved cache performance in Monte Carlo transport calculations using energy banding. Computer Physics Communications, 185(4), 1195-1199. https://doi.org/10.1016/j.cpc.2013.10.008

Siegel, A. R., Smith, K., Romano, P. K., Forget, B., & Felker, K. G. (Feb 2014). Multi-core performance studies of a Monte Carlo neutron transport code. International Journal of High Performance Computing Applications, 28(1), 87-96. https://doi.org/10.1177/1094342013492179

Felker, K. G., Siegel, A. R., & Siegel, S. F. (May 2013). Optimizing memory constrained environments in Monte Carlo nuclear reactor simulations. International Journal of High Performance Computing Applications, 27, 210-216. https://doi.org/10.1177/1094342012445627

Siegel, A. R., Smith, K., Romano, P. K., Forget, B., & Felker, K. (Feb 2013). The effect of load imbalances on the performance of Monte Carlo algorithms in LWR analysis. Journal of Computational Physics, 235, 901-911. https://doi.org/10.1016/j.jcp.2012.06.012

Awards

University of Chicago Careers in Higher Education Fellow
University of Chicago Dean's list of Distinguished Students, 2009-2013
AMS/IEEE Supercomputing 2012 "HPC for Undergraduates" invitee