KAIST image computing system (KICS): A parallel architecture for real-timemultimedia data processing

An efficient parallel architecture is proposed for high-performance multime dia data processing using multiple multimedia video processors (MVP; TMS320 C80), which are fully programmable general digital signal processors (DSP). This paper describes several requirements for a multimedia data processing system and the system architecture of an image computing system called the KAIST Image Computing System (KICS). The performance of the KICS is evalua ted in terms of its I/O bandwidth and the execution time for some image pro cessing functions. An application of the KICS to the real-time Moving Pictu re Expert Group 2 (MPEG-2) encoder is introduced. The programmability and t he high-speed data-access capability of the KICS are its most important fea tures as a high-performance system for realtime multimedia data processing. (C) 2000 Published by Elsevier Science B.V. All rights reserved.