Algorithm and Architecture for a Low-Power Content Addressable Memory Based on Sparse Clustered Networks
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SupportDescription
Content-addressable memory (CAM) is a special type of computer memory used in certain very-high-speed searching applications. It is also known as associative memory, associative storage, or associative array, although the last term is more often used for a programming data structure. It compares input search data (tag) against a table of stored data, and returns the address of matching data (or in the case of associative memory, the matching data). Several custom computers were built to implement CAM, and were designated associative computers. In this project, the system proposed an XOR based Content-addressable Memory. Data matching process is used to match line (ML) sense amplifier. The dynamic energy consumption of the proposed design is significantly lower compared with that of a conventional low-power CAM design. Given an input tag, the proposed architecture computes a few possibilities for the location of the matched tag and performs the comparisons on them to locate a single valid match.
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