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...
Main Authors: | , , , , |
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Other Authors: | |
Language: | en_US |
Published: |
International Foundation for Telemetering
2016
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Online Access: | http://hdl.handle.net/10150/624191 http://arizona.openrepository.com/arizona/handle/10150/624191 |
Summary: | 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. |
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