Paper
19 July 2010 Heterogeneous real-time computing in radio astronomy
John M. Ford, Paul Demorest, Scott Ransom
Author Affiliations +
Abstract
Modern computer architectures suited for general purpose computing are often not the best choice for either I/O-bound or compute-bound problems. Sometimes the best choice is not to choose a single architecture, but to take advantage of the best characteristics of different computer architectures to solve your problems. This paper examines the tradeoffs between using computer systems based on the ubiquitous X86 Central Processing Units (CPU's), Field Programmable Gate Array (FPGA) based signal processors, and Graphical Processing Units (GPU's). We will show how a heterogeneous system can be produced that blends the best of each of these technologies into a real-time signal processing system. FPGA's tightly coupled to analog-to-digital converters connect the instrument to the telescope and supply the first level of computing to the system. These FPGA's are coupled to other FPGA's to continue to provide highly efficient processing power. Data is then packaged up and shipped over fast networks to a cluster of general purpose computers equipped with GPU's, which are used for floating-point intensive computation. Finally, the data is handled by the CPU and written to disk, or further processed. Each of the elements in the system has been chosen for its specific characteristics and the role it can play in creating a system that does the most for the least, in terms of power, space, and money.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John M. Ford, Paul Demorest, and Scott Ransom "Heterogeneous real-time computing in radio astronomy", Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 77400A (19 July 2010); https://doi.org/10.1117/12.857666
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Cited by 15 scholarly publications.
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KEYWORDS
Computing systems

Signal processing

Field programmable gate arrays

Digital signal processing

Radio astronomy

Computer architecture

Data processing

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