<title>KAIST image computing system (KICS): a parallel architecture for real-time multimedia platform using multiple MVPs (TMS320C80)</title>

Abstract

This paper presents an efficient parallel architecture for the real-time multimedia platform using multiple multimedia video processors (MVP; TMS32OC8O), which are fully programmable general-purpose digital signal processors (DSP). 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 two 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 highspeed data-access capability of the KICS are its most important features as a high-performance system for real-time multimedia data processing.

<title>Implementation of MPEG-2 encoder to multiprocessor system using multiple MVPs (TMS320C80)</title>

“…In this paper, the KAIST Image Computing System (KICS) is introduced as a platform for MPEG-2 real-time encoding, which is a high-performance image processing system [6]. Also additional hardware for an implementation of a real-time motion estimation with a half-pixel accuracy and the software architecture for real-time MPEG-2 main profile at main level (MP@ML) encoding on the KICS are described.…”