Daniel Kogler

Graduate Student

Educational Background

  • Ph.D., Expected May 2016, Computer Science, Indiana University
  • B.S., 2007, Electrical Engineering, Tulane University

Research Interests

  • High-performance computing

Recent Research Projects

  • Developing ParalleX Performance Model
  • Developing new NBody algorithm

Recent Professional Activity

  • Presenter, NBody Research at the ATIP/A*CRC Workshop, Singapore,
    May 2012

Recent Publications

  • Thomas Sterling, Daniel Kogler, Matthew Anderson, and Maciej Brodowicz. SLOWER: A performance model for Exascale computing. Supercomputing Frontiers and Innovations, 1:42–57, September 2014.
    Keywords: HPX. [bibtex-entry]
  • Daniel Kogler, Matthew Anderson, and Thomas Sterling. A Highly Scalable Algorithm for N-Body Simulation. Poster at ATIP/A*STAR Workshop in Singapore, May 2012. [bibtex-entry]