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

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 rec...

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Bibliographic Details
Main Author: Woods, Andrew
Other Authors: Inggs, Michael
Format: Dissertation
Language:English
Published: University of Cape Town 2015
Subjects:
Online Access:http://hdl.handle.net/11427/12212
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-122122020-12-10T05:11:07Z 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 University of Cape Town Faculty of Engineering and the Built Environment Department of Electrical Engineering
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Electrical Engineering
spellingShingle Electrical Engineering
Woods, Andrew
Accelerating software radio astronomy FX correlation with GPU and FPGA co-processors
description 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.
author2 Inggs, Michael
author_facet Inggs, Michael
Woods, Andrew
author Woods, Andrew
author_sort Woods, Andrew
title 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_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_sort accelerating software radio astronomy fx correlation with gpu and fpga co-processors
publisher University of Cape Town
publishDate 2015
url http://hdl.handle.net/11427/12212
work_keys_str_mv AT woodsandrew acceleratingsoftwareradioastronomyfxcorrelationwithgpuandfpgacoprocessors
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