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Accelerating software radio astronomy FX correlation with GPU and FPGA co-processors

Includes abstract.

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Bibliographic Details
Main Author: Woods, Andrew
Other Authors: Inggs, Michael
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2015
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access_status_str Open Access
author Woods, Andrew
author2 Inggs, Michael
author_browse Inggs, Michael
Woods, Andrew
author_facet Inggs, Michael
Woods, Andrew
author_sort Woods, Andrew
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/12212
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:19.547Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/12212 Accelerating software radio astronomy FX correlation with GPU and FPGA co-processors Woods, Andrew Inggs, Michael Electrical Engineering Includes abstract. Includes bibliographical references (leaves [117]-121). This thesis attempts to accelerate compute intensive sections of a frequency domain radio astronomy correlator using dedicated co-processors. Two co-processor implementations were made independently with one using reconfigurable hardware (Xilinx Virtex 4LXlOO) and the other uses a graphics processor (Nvidia 9800GT). The objective of a radio astronomy correlator is to compute the complex valued correlation products for each baseline which can be used to reconstruct the sky's radio brightness distribution. Radio astronomy correlators have huge computation demands and this dissertation focuses on the computational aspects of correlation, concentrating on the X-engine stage of the correlator. 2015-01-15T11:25:26Z 2015-01-15T11:25:26Z 2010 Master Thesis Masters MSc http://hdl.handle.net/11427/12212 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Woods, Andrew
Accelerating software radio astronomy FX correlation with GPU and FPGA co-processors
thesis_degree_str Master's
title Accelerating software radio astronomy FX correlation with GPU and FPGA co-processors
title_full Accelerating software radio astronomy FX correlation with GPU and FPGA co-processors
title_fullStr Accelerating software radio astronomy FX correlation with GPU and FPGA co-processors
title_full_unstemmed Accelerating software radio astronomy FX correlation with GPU and FPGA co-processors
title_short Accelerating software radio astronomy FX correlation with GPU and FPGA co-processors
title_sort accelerating software radio astronomy fx correlation with gpu and fpga co processors
topic Electrical Engineering
url http://hdl.handle.net/11427/12212
work_keys_str_mv AT woodsandrew acceleratingsoftwareradioastronomyfxcorrelationwithgpuandfpgacoprocessors