TY - JOUR
T1 - A Fully Parallel 1-Mb CAM LSI for Real-Time Pixel-Parallel Image Processing
AU - Ikenaga, Takeshi
AU - Ogura, Takeshi
PY - 2000/4
Y1 - 2000/4
N2 - For real-time image-processing applications, a highly parallel system that exploits parallelism is desirable. A content addressable memory (CAM), or an associative processor, that can perform various types of parallel processing with words as the basic unit is a promising component for creating such a system because of its suitability for LSI implementation. Conventional CAM LSI's, however, have neither efficient function nor enough capacity for pixel-parallel processing. This paper describes a fully parallel 1-Mb CAM LSI. It has advanced functions for processing various pixel-parallel algorithms, such as mathematical morphology and discrete-time cellular neural networks. Moreover, since it has 16-K words, or processing elements (PE's), which can process 128 × 128 pixels in parallel, a board-sized pixel-parallel image-processing system can be implemented using several chips. A chip capable of operating at 56 MHz and 2.5 V was fabricated using 0.25-μm full-custom CMOS technology with five aluminum layers. A total of 15.5 million transistors have been integrated into a 16.1× 17.0 mm chip. Typical power dissipation is 0.25 W. Processing performance of various update and data transfer operations is 3-640 GOPS. This CAM LSI will make a significant contribution to the development of compact, high-performance image-processing systems.
AB - For real-time image-processing applications, a highly parallel system that exploits parallelism is desirable. A content addressable memory (CAM), or an associative processor, that can perform various types of parallel processing with words as the basic unit is a promising component for creating such a system because of its suitability for LSI implementation. Conventional CAM LSI's, however, have neither efficient function nor enough capacity for pixel-parallel processing. This paper describes a fully parallel 1-Mb CAM LSI. It has advanced functions for processing various pixel-parallel algorithms, such as mathematical morphology and discrete-time cellular neural networks. Moreover, since it has 16-K words, or processing elements (PE's), which can process 128 × 128 pixels in parallel, a board-sized pixel-parallel image-processing system can be implemented using several chips. A chip capable of operating at 56 MHz and 2.5 V was fabricated using 0.25-μm full-custom CMOS technology with five aluminum layers. A total of 15.5 million transistors have been integrated into a 16.1× 17.0 mm chip. Typical power dissipation is 0.25 W. Processing performance of various update and data transfer operations is 3-640 GOPS. This CAM LSI will make a significant contribution to the development of compact, high-performance image-processing systems.
KW - Associative processor
KW - Content addressable memory (CAM)
KW - Discrete-time cellular neural networks
KW - Mathematical morphology
KW - Multiple data (SIMD)
KW - Real-time image processing
KW - Single instruction
UR - http://www.scopus.com/inward/record.url?scp=0242425176&partnerID=8YFLogxK
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U2 - 10.1109/4.839913
DO - 10.1109/4.839913
M3 - Article
AN - SCOPUS:0242425176
SN - 0018-9200
VL - 35
SP - 536
EP - 543
JO - IEEE Journal of Solid-State Circuits
JF - IEEE Journal of Solid-State Circuits
IS - 4
ER -