Unisys has been granted a patent for a system that tracks process flow within a processor by storing tracing information in virtual execution context registers. This data helps identify processing hot-spots by recording execution frequency and instruction pointer locations during process execution. GlobalData’s report on Unisys 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 Unisys, MITM attack solutions was a key innovation area identified from patents. Unisys's grant share as of July 2024 was 82%. Grant share is based on the ratio of number of grants to total number of patents.
System for identifying processing hot-spots in execution flow
The granted patent US12073218B2 outlines a system and method for recognizing processing hot-spots within computational processes. Central to this innovation is a processor coupled with a memory that includes addressable virtual registers and code execution registers. Each virtual register stores code indicative of individual process steps, while the execution registers are dedicated to tracking information related to these steps. The processor executes processes by sequentially running identifiable steps, recording the frequency of each step's execution based on specific code locations. This data is then stored in the corresponding execution registers, allowing the system to classify steps as hot-spots based on the highest execution counts.
Additionally, the patent details various configurations for the memory and processor components, including options for virtual and physical memory, as well as different types of memory technologies such as static and dynamic random-access memory. The method for recognizing hot-spots involves incrementing a monotonic counter to track execution frequency, further enhancing the system's ability to identify performance bottlenecks. This patent provides a structured approach to optimizing process execution by pinpointing areas that may require further analysis or improvement, thereby contributing to more efficient computational performance.
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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.
