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

✍ Scribed by JaeHo Jeon; Hyung-Sun Kim; GeonYoung Choi; HyunWook Park

• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 671 KB
• Volume: 46
• Category: Article
• ISSN: 1383-7621
• DOI: 10.1016/s1383-7621(00)00032-1

✦ Synopsis

An ecient parallel architecture is proposed for high-performance multimedia data processing using multiple multimedia video processors (MVP; TMS320C80), 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 evaluated in terms of its I/O bandwidth and the execution time for some image processing functions. An application of the KICS to the real-time Moving Picture Expert Group 2 (MPEG-2) encoder is introduced. The programmability and the high-speed data-access capability of the KICS are its most important features as a high-performance system for realtime multimedia data processing.