Cambricon Technologies had two patents in big data during Q2 2024. The patent filed by Cambricon Technologies Corp Ltd in Q2 2024 describes a data processing apparatus with a control module that includes an instruction caching unit, an instruction processing unit, and a storage queue unit. This apparatus is designed to store computation instructions for artificial neural network operations, parse these instructions to obtain operation instructions, and store them in an instruction queue for efficient execution, ultimately improving the operation efficiency of products working with neural network models. GlobalData’s report on Cambricon Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Cambricon Technologies had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Data processing apparatus and related products (Patent ID: US20240111536A1)
The patent filed by Cambricon Technologies Corp Ltd. describes a data processing apparatus and related products that include a control module with an instruction caching unit, an instruction processing unit, and a storage queue unit. The instruction caching unit stores computation instructions for artificial neural network operations, the instruction processing unit parses these instructions to obtain operation instructions, and the storage queue unit stores an instruction queue for execution. This method aims to enhance the operational efficiency of products when working with neural network models.
The patent also includes claims related to a data synchronization method performed by processors to synchronize tensor data. The method involves determining synchronization information based on tensor data descriptors, generating synchronization instructions, and sending them to other processors for data synchronization. The synchronization information includes storage addresses of the tensor data, and the method covers scenarios where the data is in shared or non-shared storage spaces. Additionally, the patent describes a data synchronization apparatus with a first processor determining synchronization information and generating synchronization instructions, and a second processor obtaining the synchronized tensor data. These innovations can be applied to artificial intelligence chips, electronic devices, and board cards to enhance data processing and synchronization capabilities.
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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.
