Sanken Electric has been granted a patent for an abnormality detection circuit and method for CPUs. The invention involves a counter, seed value storage, and a verification process to detect abnormalities by comparing generated key values, resetting the counter, and storing updated seed values when specific conditions are met. GlobalData’s report on Sanken Electric 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 Sanken Electric, Quantum dot devices was a key innovation area identified from patents. Sanken Electric's grant share as of June 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.

Abnormality detection circuit for cpu

Source: United States Patent and Trademark Office (USPTO). Credit: Sanken Electric Co Ltd

The patent US12039291B2 describes an abnormality detection circuit designed to identify issues within a CPU. The circuit includes several key components: a counter that tracks a count value from an initial to a timeout value, a seed value storage section for storing a seed value readable by the CPU, a calculator that generates a verification key value through specified arithmetic processing on the seed value, a key value storage section for storing a key value written by the CPU, and a comparator that checks for matches between the stored key value and the generated verification key. The circuit is designed to reset the counter and store a new seed value when the count reaches the timeout without being reset, provided that the key values match.

Further claims detail the specific arithmetic processing methods, including bit swapping, and the potential inclusion of additional components such as a free counter, a random number generator, and the ability to receive seed values from external sources. The circuit's design ensures that if the key values do not match, the counter continues to count without resetting. The patent also outlines a method for detecting CPU abnormalities, which involves counting, storing, generating, and comparing key values, ultimately leading to the resetting of the counter and the establishment of a new seed value based on the count. This comprehensive approach aims to enhance the reliability and security of CPU operations by effectively monitoring and responding to potential abnormalities.

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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.