Paper
24 August 2009 Parallel processing of blocks of data in the network
Jingyan Wang, Wei Heng
Author Affiliations +
Proceedings Volume 7375, ICEM 2008: International Conference on Experimental Mechanics 2008; 73752N (2009) https://doi.org/10.1117/12.839224
Event: International Conference on Experimental Mechanics 2008 and Seventh Asian Conference on Experimental Mechanics, 2008, Nanjing, China
Abstract
It is hard and expensive to increase the speed of data processing by just improving the capability of the hardware. This paper puts forward a platform of image transmission and reception among computers in the network in order to speed up the data processing under the limitation of the existing hardware conditions. The basic idea is that the transmitter divides an integrated data into several parts and sends each of them to different computers in the network. Then these parallel receivers process their own received data and send them to the same terminal computer which function is to put the renewed data together according to certain order so that the original data is processed just like one high-performance computer does. The capability is expanded by updating the data periodically and processing several data simultaneously without interfering each other. The work of calculating and processing is accomplished by those parallel computers while the transmitter and receiver have low burden so that they can fulfill other work. Performance results show that the data processing speed can be increased by this method and the more computers, the better the performance.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingyan Wang and Wei Heng "Parallel processing of blocks of data in the network", Proc. SPIE 7375, ICEM 2008: International Conference on Experimental Mechanics 2008, 73752N (24 August 2009); https://doi.org/10.1117/12.839224
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KEYWORDS
Computing systems

Data processing

Data integration

Receivers

Computer networks

Parallel processing

Parallel computing

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