Efficient design of exponential-Krylov integrators for large scale computing. - Mayya Tokman; John Loffeld (ICCS, 2010)

New Adaptive Exponential Propagation Iterative Methods of Runge-Kutta Type. - Mayya Tokman; John Loffeld; Paul Tranquilli (SIAM J. Sci. Comput., 2012)

Comparative performance of exponential, implicit, and explicit integrators for stiff systems of ODEs. - John Loffeld; Mayya Tokman (J. Comput. Appl. Math., 2013)

Design, Implementation and Performance of Exponential Integrators for High Performance Computing Applications. - John Loffeld (2013)

A Study on Balancing Parallelism, Data Locality, and Recomputation in Existing PDE Solvers. - Catherine Mills Olschanowsky; Michelle Mills Strout; Stephen M. Guzik; John Loffeld; Jeffrey Hittinger (SC, 2014)

Implementation of Parallel Adaptive-Krylov Exponential Solvers for Stiff Problems. - John Loffeld; Mayya Tokman (SIAM J. Sci. Comput., 2014)

On the performance of exponential integrators for problems in magnetohydrodynamics. - Lukas Einkemmer; Mayya Tokman; John Loffeld (J. Comput. Phys., 2017)

On the arithmetic intensity of high-order finite-volume discretizations for hyperbolic systems of conservation laws. - John Loffeld; Jeffrey Hittinger (Int. J. High Perform. Comput. Appl., 2019)

Implicit Multirate GARK Methods. - Steven B. Roberts; John Loffeld; Arash Sarshar; Carol S. Woodward; Adrian Sandu (J. Sci. Comput., 2021)

Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling. - Ping-Hsuan Tsai; Seung Whan Chung; Debojyoti Ghosh; John Loffeld; Youngsoo Choi; Jonathan L. Belof (CoRR, 2023)

Performance of explicit and IMEX MRI multirate methods on complex reactive flow problems within modern parallel adaptive structured grid frameworks. - John J. Loffeld; Andy Nonaka; Daniel R. Reynolds; David J. Gardner; Carol S. Woodward (Int. J. High Perform. Comput. Appl., 2024)

A conservative first-collision source treatment for ray effect mitigation in discrete-ordinate radiation transport solutions. - Alex B. Christensen; Adam Kunen; John Loffeld; Peter Brown; Massimiliano Fratoni (J. Comput. Phys., 2024)