Parallel simulations for Fractional-Order Systems
  In this paper, we explore how numerical calculations can be accelerated by implementing several numerical methods of fractional-order systems using parallel computing techniques. We investigate the feasibility of parallel computing algorithms and their efficiency in reducing the computational costs over a large time interval. Particularly, we present the case of Adams-Bashforth-Mouhlton predictor-corrector method and measure the speedup of two parallel approaches by using GPU and HPC cluster implementations. 
A. Baban, C. Bonchi\c{s}, A. Fikl and F. Ro\c{s}u
math.DS