Alibaba Group has been granted a patent for a data computing system that includes a memory, processor, and accelerator to improve execution efficiency and reduce computing overhead. The accelerator operates independently from the processor and memory, enhancing overall performance. GlobalData’s report on Alibaba Group 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 Alibaba Group, Blockchain-based property authentication was a key innovation area identified from patents. Alibaba Group's grant share as of March 2024 was 45%. Grant share is based on the ratio of number of grants to total number of patents.
Data computing system with processor, memory, and separate accelerator
A recently granted patent (Publication Number: US11972262B2) discloses a data computing system that includes a memory, a processor, and an accelerator. The accelerator, separate from the processor and memory, is designed to receive control information from the processor, perform various computing operations independently from the processor, and write the computed results back to the memory. The computing module within the accelerator comprises components such as a multiply-accumulate unit, a rectifier computing unit, and multiplexers to facilitate efficient data processing. The system allows for different computing types such as multiply-accumulate operations, exponential functions, sigmoid functions, rectifier functions, or softmax functions to be executed seamlessly.
Moreover, the patent also covers an accelerator as a standalone device that can be integrated into a data computing system. This accelerator, similar to the one described earlier, is capable of receiving control information from an external processor, performing computing processes based on the provided instructions, and writing back the results to an external memory. The computing module within the accelerator consists of components like a multiply-accumulate unit, a rectifier computing unit, and multiplexers to handle various data processing tasks efficiently. The system ensures that the data stored in the memory remains intact during the computing process, enhancing data integrity and security during operations.
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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.
