Macronix International has been granted a patent for a ternary content addressable memory (TCAM) design. The TCAM includes multiple search lines, memory cell strings with current sensing units, and transistors for data matching. The innovative design allows for efficient data searching based on current detection. GlobalData’s report on Macronix International gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Macronix International, Magnetic RAMs was a key innovation area identified from patents. Macronix International's grant share as of February 2024 was 84%. Grant share is based on the ratio of number of grants to total number of patents.
Ternary content addressable memory (tcam) with current sensing units
A recently granted patent (Publication Number: US11923008B2) discloses a ternary content addressable memory (TCAM) system comprising multiple search lines, memory cell strings with memory cells connected to the search lines, and current sensing units. During a search operation, the system determines if the data stored in the memory cell strings matches the data string being searched based on the detection of current by the sensing units or the magnitude of the current flowing from the memory cell strings. Each memory cell in a particular memory cell string consists of a first transistor and a second transistor, with specific programming operations for different values and "don't care" scenarios.
Furthermore, the TCAM system includes features such as grouping memory cell strings with current sensing units through AND gates, programming thresholds for transistors based on different values, applying specific search voltages for different values, and utilizing "wild card" searches. The system also involves serially connecting transistors in memory cell strings, arranging memory cells in sets for programming data, and connecting first and second transistors in series. Additionally, a decision generation method for TCAM involves receiving a target data string, determining masks, applying searching voltages to search lines, generating decision parameters based on current values sensed by current sensing units, and making decisions based on these parameters. The method also includes determining whether to make a decision based on the decision parameters generated.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
