{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9619602","patent":{"patent_number":"US-9619602","title":"Enhanced parameter tuning for very-large-scale integration synthesis","assignee":null,"inventors":[],"filing_date":"2015-06-23T00:00:00.000Z","publication_date":"2017-04-11T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06N"],"num_claims":12,"abstract":"A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function of each of the parameters. The method further includes (b) creating a set of possible parameter combinations that is ordered by an estimated-cost function. The method additionally includes (c) selecting, from the set of possible parameter combinations, top-k scenarios having best estimated costs to form a potential set, and running at least some of the top-k scenarios in parallel through the synthesis program. The method also includes (d) repeating steps (b)-(c) for one or more iterations until at least one of a maximum iteration limit is reached and an exit criterion is satisfied."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Enhanced parameter tuning for very-large-scale integration synthesis","description":"A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9619602","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-9619602","citation_suggestion":"Patentable. \"Enhanced parameter tuning for very-large-scale integration synthesis\" (US-9619602). https://patentable.app/patents/US-9619602","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9619602","json":"https://patentable.app/api/llm-context/US-9619602","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T10:16:36.600Z"}