  Astrophysical radio signals are excellent probes of extreme physical
processes that emit them. However, to reach Earth, electromagnetic radiation
passes through the ionised interstellar medium (ISM), introducing a
frequency-dependent time delay (dispersion) to the emitted signal. Removing
dispersion enables searches for transient signals like Fast Radio Bursts (FRB)
or repeating signals from isolated pulsars or those in orbit around other
compact objects. The sheer volume and high resolution of data that next
generation radio telescopes will produce require High-Performance Computing
(HPC) solutions and algorithms to be used in time-domain data processing
pipelines to extract scientifically valuable results in real-time. This paper
presents a state-of-the-art implementation of brute force incoherent
dedispersion on NVIDIA GPUs, and on Intel and AMD CPUs. We show that our
implementation is 4x faster (8-bit 8192 channels input) than other available
solutions and demonstrate, using 11 existing telescopes, that our
implementation is at least 20 faster than real-time. This work is part of the
AstroAccelerate package.

Instrumentation and Methods for Astrophysics;Distributed, Parallel, and Cluster Computing