GSI Technology has been granted a patent for a cascading search system that includes an associative memory array, a similarity match processor, and an exact match processor. The system allows for efficient parallel similarity and exact searches of multiportion data vectors. GlobalData’s report on GSI Technology 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 GSI Technology, Convolutional neural networks (CNNs) was a key innovation area identified from patents. GSI Technology's grant share as of May 2024 was 35%. Grant share is based on the ratio of number of grants to total number of patents.
Cascading search system with associative memory array
A recently granted patent (Publication Number: US11989185B2) discloses a system and method for performing cascading search using an associative memory array. The system includes a similarity match processor for parallel similarity search and an exact match processor for exact search in columns of the memory array. The similarity match processor utilizes various similarity metrics such as Tanimoto search, Hamming search, L1 search, L2 search, and Jaccard search. The exact match processor produces a modified exact search query by appending a search bit based on match bit indications from the similarity matched columns. The first portion of the data vectors stored in the memory array can be molecular fingerprints, headers with source address data, or fingerprints, while the second portion is metadata or payload associated with the first portion.
The method for performing cascading search involves parallel similarity search and exact search in the associative memory array columns. Similarity search metrics like Tanimoto search, Hamming search, L1 search, L2 search, and Jaccard search are utilized in the process. The method also includes producing a modified exact search query based on match bit indications from the similarity matched columns. The first portion of the data vectors in the memory array can be molecular fingerprints, headers with source address data, or fingerprints, while the second portion is metadata or payload associated with the first portion. This innovative system and method provide an efficient way to perform cascading search operations, enabling quick and accurate retrieval of relevant data based on similarity and exact matching criteria.
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