Paul Eller is a Postdoctoral Research Associate in the Scientific Computing Group at the National Center for Computational Sciences at Oak Ridge National Laboratory. His research interests are focused on developing, analyzing, and optimizing parallel numerical algorithms and applications at scale on extreme-scale supercomputers.

Paul’s research at ORNL focuses on improving application performance at scale for algorithms and applications of interest at ORNL. This includes developing faster linear solvers and dense linear algebra routines for ORNL applications and developing network performance analysis tools and optimizations to help improve performance for applications running on ORNL supercomputers.

Paul previously earned a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign. His research focused on developing and analyzing scalable Krylov solvers that are designed to improve performance at large scales. Prior to this he worked at the U.S. Army Engineer Research and Development Center helping scientists develop applications capable of running effectively on Department of Defense supercomputers. Prior to this he earned M.S. and B.S. degrees from Virginia Tech and researched techniques for effectively parallelizing atmospheric models.


University of Illinois at Urbana-Champaign
Computer Science
Doctor of Philosophy (Ph.D.)
Virginia Tech
Computer Science
Master of Science (M.S.)
Virginia Tech
Computer Science
Bachelor of Science (B.S.)