Authors: Marion Sudvarg, Jacob Wheelock, Jeremy Buhler, and James Buckley (Washington University in St. Louis) and Wenlei Chen (University of Minnesota)
Abstract: The Advanced Particle-astrophysics Telescope (APT) is a planned space-based observatory to survey the entire sky for gamma-ray bursts (GRBs). It seeks to promptly detect these transient events, then communicate with narrow-band instruments for follow-up observations. To this end, we are developing analytical methods for real-time detection and localization of GRBs, targeting computing hardware that might fly onboard the orbiting platform.
In prior work, we implemented a three-stage software pipeline on a low-powered ARM CPU. In this work, we present GPU-accelerated algorithms for the last two pipeline stages, measure execution times on an NVIDIA GeForce RTX 2080, then apply a scaling factor to estimate performance on a 10-watt NVIDIA Jetson NX Xavier board. For the second stage, we demonstrate an estimated speedup of 3-3.5x over the CPU implementation for large datasets. For the third stage, we demonstrate that GPU acceleration significantly slows the increase of execution time with input size.
Best Poster Finalist (BP): no
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