Kyle Felker

  • Program Year: 4
  • Academic Institution: Princeton University
  • Field of Study: Applied and Computational Mathematics
  • Academic Advisor: James Stone
  • Practicum(s):
    Princeton Plasma Physics Laboratory (2016)
  • Degree(s):
    B.S. Mathematics, and B.A. Physics, The University of Chicago, 2013
  • Personal URL: https://web.math.princeton.edu/~kfelker/

Summary of Research

My current research is on numerical methods for general relativistic radiation transfer in astrophysics simulations.

Publications

K. Felker, A. Siegel, K. Smith, The energy band memory server algorithm for parallel Monte Carlo transport calculations, Joint International Conference on Supercomputing in Nuclear Application + Monte Carlo, Cite des Sciences et de I'ndustrie de la Villete, Paris, October 2013

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. doi: 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. doi: 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. doi:10.1177/109434201244562

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. doi: 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