HIPSR: A Digital Signal Processor for the Parkes 21-cm Multibeam Receiver

Abstract

HIPSR (HI-Pulsar) is a digital signal processing system for the Parkes 21-cm Multibeam Receiver that provides larger instantaneous bandwidth, increased dynamic range, and more signal processing power than the previous systems in use at Parkes. The additional computational capacity enables finer spectral resolution in wideband HI observations and real-time detection of Fast Radio Bursts during pulsar surveys. HIPSR uses a heterogeneous architecture, consisting of FPGA-based signal processing boards connected via high-speed Ethernet to high performance compute nodes. Low-level signal processing is conducted on the FPGA-based boards, and more complex signal processing routines are conducted on the GPU-based compute nodes. The development of HIPSR was driven by two main science goals: to provide large bandwidth, high-resolution spectra suitable for 21-cm stacking and intensity mapping experiments; and to upgrade the Berkeley-Parkes-Swinburne Recorder (BPSR), the signal processing system used for the High Time Resolution Universe (HTRU) Survey and the Survey for Pulsars and Extragalactic Radio Bursts (SUPERB).

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Cited by in corpus (13)

• An ultra-wide bandwidth (704 to 4032 MHz) receiver for the Parkes radio telescope
• Faint Repetitions from a Bright Fast Radio Burst Source
• The SUrvey for Pulsars and Extragalactic Radio Bursts I: Survey Description and Overview
• The CHIME Pulsar Project: System Overview
• A Fast Radio Burst with frequency-dependent polarization detected during Breakthrough Listen observations
• The Future of Fast Radio Burst Science
• Probing the extragalactic fast transient sky at minute timescales with DECam
• The Breakthrough Listen Search for Intelligent Life: Wide-bandwidth Digital Instrumentation for the CSIRO Parkes 64-m Telescope
• The SUrvey for Pulsars and Extragalactic Radio Bursts V: Recent Discoveries and Full Timing Solutions
• The Location of Young Pulsar PSR J0837$-$2454: Galactic Halo or Local Supernova Remnant?
• Gain Stabilization for Radio Intensity Mapping using a Continuous-Wave Reference Signal
• A machine learning-based approach towards the improvement of SNR of pulsar signals
• SDHDF: A new file format for spectral-domain radio astronomy data