7 May 1997 KAIST image computing system (KICS): a parallel architecture for real-time multimedia platform using multiple MVPs (TMS320C80)
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Abstract
This paper presents an efficient parallel architecture for the real-time multimedia platform using multiple multimedia video processors, which are fully programmable general- purpose digital signal processors. We have implemented an efficient parallel system, called the KAIST Image Computing System (KICS) for a multimedia platform and an image processing system. The main architecture of the KICS is a message passing model with hierarchically segmented buses. There are tow parallel clusters in which two PE's (processing elements) are pipelined and the master PE of each cluster can access common global memory at high speed. The applications of the KICS to the MPEG-2 encoder and the volume rendering are introduced. The implemented algorithms are functionally or spatially partitioned and assigned to each PE in consideration with the load balancing and the required data traffic between PE's. The performance analysis for the applications and the general image processing functions are performed. The programmability and the high- speed data-access capability of the KICS are its most important features as a high-performance system for real- time multimedia data processing.
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JaeHo Jeon, JaeHo Jeon, Geon Young Choi, Geon Young Choi, HeeYong Kim, HeeYong Kim, JunSeon Kim, JunSeon Kim, HyungSun Kim, HyungSun Kim, Hyun Wook Park, Hyun Wook Park, } "KAIST image computing system (KICS): a parallel architecture for real-time multimedia platform using multiple MVPs (TMS320C80)", Proc. SPIE 3031, Medical Imaging 1997: Image Display, (7 May 1997); doi: 10.1117/12.273920; https://doi.org/10.1117/12.273920
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