{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11941250","patent":{"patent_number":"US-11941250","title":"Optimizing application execution based on memory-level parallelism (MLP)-based metrics","assignee":null,"inventors":[],"filing_date":"2022-05-06T00:00:00.000Z","publication_date":"2024-03-26T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F"],"num_claims":20,"abstract":"A process includes determining a memory bandwidth of a processor subsystem corresponding to an execution of an application by the processor subsystem. The process includes determining an average memory latency corresponding to the execution of the application and determining an average occupancy of a miss status handling register queue associated with the execution of the application based on the memory bandwidth and the average memory latency. The process includes, based on the average occupancy of the miss status handling register queue and a capacity of the miss status handling register queue, generating data that represents a recommendation of an optimization to be applied to the application."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Optimizing application execution based on memory-level parallelism (MLP)-based metrics","description":"A process includes determining a memory bandwidth of a processor subsystem corresponding to an execution of an application by the processor subsystem. The process includes determining an average memor","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11941250","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11941250","citation_suggestion":"Patentable. \"Optimizing application execution based on memory-level parallelism (MLP)-based metrics\" (US-11941250). https://patentable.app/patents/US-11941250","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11941250","json":"https://patentable.app/api/llm-context/US-11941250","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T12:46:47.471Z"}