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):
    M.A. Applied and Computational Mathematics, Princeton University, 2015
    B.S. Mathematics, and B.A. Physics, The University of Chicago, 2013

Current Status

  • Status: Graduate student
  • Research Area: Applied and Computational Mathematics
  • Personal URL:
  • Publications

    Stone, J.M., Tomida, K., White, C.J., & Felker, K. G., (2019). The Athena++ adaptive mesh
    refinement framework: magnetohydrodynamic solvers. Submitted to American Astronomical Society journals.

    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.

    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.

    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.

    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.

    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.

    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.


    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