DISTRIBUTED COMPUTING PROCESSOR FOR SIGNAL PROCESSING APPLICATIONS
Many signal processing, data analysis and graphical user interface algorithms are computationally intensive. This paper investigates a method of off-loading some of the calculations to remotely located processors. Inexpensive, commercial off the shelf processors are used to perform operations such...
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International Foundation for Telemetering
2016
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ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6241912017-06-17T03:00:27Z DISTRIBUTED COMPUTING PROCESSOR FOR SIGNAL PROCESSING APPLICATIONS Peterson, Krystal Richter, Samuel Schafer, Adam Grant, Steve Kosbar, Kurt Missouri University of Science and Technology, Department of Electrical and Computer Engineering Many signal processing, data analysis and graphical user interface algorithms are computationally intensive. This paper investigates a method of off-loading some of the calculations to remotely located processors. Inexpensive, commercial off the shelf processors are used to perform operations such as fast Fourier transforms and other numerically intensive algorithms. The data is passed to the processors, and results collected, using conventional network interfaces such as TCP/IP. This allows the processors to be located at any location, and also allows potentially large caches of processors to be shared between multiple applications. 2016-11 text Proceedings 0884-5123 0074-9079 http://hdl.handle.net/10150/624191 http://arizona.openrepository.com/arizona/handle/10150/624191 International Telemetering Conference Proceedings en_US http://www.telemetry.org/ Copyright © held by the author; distribution rights International Foundation for Telemetering International Foundation for Telemetering |
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language |
en_US |
sources |
NDLTD |
description |
Many signal processing, data analysis and graphical user interface algorithms are computationally
intensive. This paper investigates a method of off-loading some of the calculations to remotely located
processors. Inexpensive, commercial off the shelf processors are used to perform operations such as fast
Fourier transforms and other numerically intensive algorithms. The data is passed to the processors, and
results collected, using conventional network interfaces such as TCP/IP. This allows the processors to be
located at any location, and also allows potentially large caches of processors to be shared between multiple
applications. |
author2 |
Missouri University of Science and Technology, Department of Electrical and Computer Engineering |
author_facet |
Missouri University of Science and Technology, Department of Electrical and Computer Engineering Peterson, Krystal Richter, Samuel Schafer, Adam Grant, Steve Kosbar, Kurt |
author |
Peterson, Krystal Richter, Samuel Schafer, Adam Grant, Steve Kosbar, Kurt |
spellingShingle |
Peterson, Krystal Richter, Samuel Schafer, Adam Grant, Steve Kosbar, Kurt DISTRIBUTED COMPUTING PROCESSOR FOR SIGNAL PROCESSING APPLICATIONS |
author_sort |
Peterson, Krystal |
title |
DISTRIBUTED COMPUTING PROCESSOR FOR SIGNAL PROCESSING APPLICATIONS |
title_short |
DISTRIBUTED COMPUTING PROCESSOR FOR SIGNAL PROCESSING APPLICATIONS |
title_full |
DISTRIBUTED COMPUTING PROCESSOR FOR SIGNAL PROCESSING APPLICATIONS |
title_fullStr |
DISTRIBUTED COMPUTING PROCESSOR FOR SIGNAL PROCESSING APPLICATIONS |
title_full_unstemmed |
DISTRIBUTED COMPUTING PROCESSOR FOR SIGNAL PROCESSING APPLICATIONS |
title_sort |
distributed computing processor for signal processing applications |
publisher |
International Foundation for Telemetering |
publishDate |
2016 |
url |
http://hdl.handle.net/10150/624191 http://arizona.openrepository.com/arizona/handle/10150/624191 |
work_keys_str_mv |
AT petersonkrystal distributedcomputingprocessorforsignalprocessingapplications AT richtersamuel distributedcomputingprocessorforsignalprocessingapplications AT schaferadam distributedcomputingprocessorforsignalprocessingapplications AT grantsteve distributedcomputingprocessorforsignalprocessingapplications AT kosbarkurt distributedcomputingprocessorforsignalprocessingapplications |
_version_ |
1718459885361823744 |