Title :
A 51.2-GOPS scalable video recognition processor for intelligent cruise control based on a linear array of 128 four-way VLIW processing elements
Author :
Kyo, Shorin ; Koga, Takuya ; Okazaki, Shin´ichiro ; Kuroda, Ichiro
Author_Institution :
Multimedia Res. Labs., NEC Corp., Kanagawa, Japan
Abstract :
This paper describes a 51.2-GOPS video recognition processor, which achieves real-time multiple processing of in-vehicle video recognition applications in software, while at the same time satisfying power efficiency requirements of an in-vehicle device. The chip integrates 128 RISC microprocessors, each operating at 100 MHz, into a single chip. Hardware configurations of the chip are enhanced for supporting efficient execution of extended C language codes of algorithms based on four basic parallel methods. The results of a benchmark test using a weather-robust lane mark and vehicle detection application show that the processor achieves a four times better performance while it consumes less than 1/20 of peak power consumption compared with a 2.4-GHz general-purpose processor.
Keywords :
CMOS digital integrated circuits; VLSI; automotive electronics; digital signal processing chips; high-speed integrated circuits; image recognition; intelligent control; microprocessor chips; multiprocessing systems; parallel architectures; real-time systems; reduced instruction set computing; video signal processing; 100 MHz; IMAP-CE; RISC microprocessors; SIMD; extended C language codes; four-way VLIW processing elements; in-vehicle video recognition applications; intelligent cruise control; intelligent transport system; linear array; parallel methods; power efficiency requirements; real-time multiple processing; scalable video recognition processor; single instruction/multiple data; single-chip parallel processor; vehicle detection application; very long instruction word; weather-robust lane mark; Computational intelligence; Hardware; High performance computing; Intelligent control; Intelligent systems; Microprocessors; Reduced instruction set computing; Signal processing algorithms; VLIW; Vehicle detection;
Journal_Title :
Solid-State Circuits, IEEE Journal of
DOI :
10.1109/JSSC.2003.818128