  The detection of non-repeating events in the radio spectrum has become an
important area of study in radio astronomy over the last decade due to the
discovery of fast radio bursts (FRBs). We have implemented a single pulse
detection algorithm, for NVIDIA GPUs, which use boxcar filters of varying
widths. Our code performs the calculation of standard deviation, matched
filtering by using boxcar filters and thresholding based on the signal-to-noise
ratio. We present our parallel implementation of our single pulse detection
algorithm. Our GPU algorithm is approximately 17x faster than our current CPU
OpenMP code (NVIDIA Titan XP vs Intel E5-2650v3). This code is part of the
AstroAccelerate project which is a many-core accelerated time-domain signal
processing code for radio astronomy. This work allows our AstroAccelerate code
to perform a single pulse search on SKA-like data 4.3x faster than real-time.
