1. Digital Signal Processing Using Stream High Performance Computing
- Author
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G. B. Taylor, Frank K. Schinzel, Michael A. Clark, J. Craig, Matt Dexter, Stephen Bourke, Danny C. Price, Gregg Hallinan, Steven W. Ellingson, D. MacMahon, Joshua D. Dowell, Lincoln J. Greenhill, Andrew Jameson, Dan Werthimer, Benjamin R. Barsdell, Jonathon Kocz, Gianni Bernardi, J. M. Hartman, Tarraneh Eftekhari, ITA, and USA
- Subjects
Signal processing ,business.industry ,Computer science ,FOS: Physical sciences ,020206 networking & telecommunications ,Astronomy and Astrophysics ,Owens Valley Radio Observatory ,02 engineering and technology ,Atacama Large Millimeter Array ,01 natural sciences ,Optics ,0103 physical sciences ,Broadband ,0202 electrical engineering, electronic engineering, information engineering ,Baseband ,Astrophysics - Instrumentation and Methods for Astrophysics ,business ,Field-programmable gate array ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,010303 astronomy & astrophysics ,Instrumentation ,Digital signal processing ,Computer hardware ,Radio astronomy - Abstract
A "large-N" correlator that makes use of Field Programmable Gate Arrays and Graphics Processing Units has been deployed as the digital signal processing system for the Long Wavelength Array station at Owens Valley Radio Observatory (LWA-OV), to enable the Large Aperture Experiment to Detect the Dark Ages (LEDA). The system samples a ~100MHz baseband and processes signals from 512 antennas (256 dual polarization) over a ~58MHz instantaneous sub-band, achieving 16.8Tops/s and 0.236 Tbit/s throughput in a 9kW envelope and single rack footprint. The output data rate is 260MB/s for 9 second time averaging of cross-power and 1 second averaging of total-power data. At deployment, the LWA-OV correlator was the largest in production in terms of N and is the third largest in terms of complex multiply accumulations, after the Very Large Array and Atacama Large Millimeter Array. The correlator's comparatively fast development time and low cost establish a practical foundation for the scalability of a modular, heterogeneous, computing architecture., 10 pages, 8 figures, submitted to JAI
- Published
- 2015