DocumentCode :
1227298
Title :
Real-time image processing on a custom computing platform
Author :
Athanas, Peter M. ; Abbott, A. Lynn
Author_Institution :
Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Volume :
28
Issue :
2
fYear :
1995
fDate :
2/1/1995 12:00:00 AM
Firstpage :
16
Lastpage :
25
Abstract :
The authors explore the utility of custom computing machinery for accelerating the development, testing, and prototyping of a diverse set of image processing applications. We chose an experimental custom computing platform called Splash-2 to investigate this approach to prototyping real time image processing designs. Custom computing platforms are emerging as a class of computers that can provide near application specific computational performance. We developed a real time image processing system called VTSplash, based on the Splash-2 general-purpose platform. Splash-2 is an attached processor featuring programmable processing elements (PEs) and communication paths. The Splash-2 system uses arrays of RAM based field programmable gate arrays (FPGAs), crossbar networks, and distributed memory to accomplish the needed flexibility and performance tasks. Such platforms let designers customize specific operations for function and size, and data paths for individual applications
Keywords :
computer architecture; image processing; image processing equipment; real-time systems; RAM based field programmable gate arrays; Splash-2; VTSplash; attached processor; crossbar networks; custom computing platform; data paths; distributed memory; experimental custom computing platform; image processing applications; near application specific computational performance; performance tasks; programmable processing elements; real time image processing designs; real-time image processing; Application software; Computer applications; Field programmable gate arrays; Image processing; Life estimation; Machinery; Process design; Prototypes; Real time systems; Testing;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/2.347995
Filename :
347995
Link To Document :
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