{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11250105","patent":{"patent_number":"US-11250105","title":"Computationally efficient general matrix-matrix multiplication (GeMM)","assignee":null,"inventors":[],"filing_date":"2020-05-12T00:00:00.000Z","publication_date":"2022-02-15T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06N","G06N"],"num_claims":20,"abstract":"A computation unit that comprises (i) a multiplicand vector decomposer that generates a decomposed multiplicand vector which uses a sequence of first and second concatenated multiplicand sub-elements (1st2ndCMCSE) in a lower-precision format (LPF) to represent corresponding ones of multiplicand elements in a multiplicand vector in a higher-precision format (HPF), (ii) a multiplier vector decomposer that generates a decomposed multiplier vector which uses a sequence of first and second concatenated multiplier sub-elements (1st2ndCMLSE) in the LPF to represent corresponding ones of multiplier elements in a multiplier vector in the HPF, (iii) a multiplicand tensor encoder that encodes double reads of the sequence of the 1st2ndCMCSE in a decomposed multiplicand tensor, and (iv) a product vector generator that generates a product vector containing a sequence of first and second concatenated product sub-elements by executing general matrix-matrix multiplication (GeMM) operations between the double reads of the 1st2ndCMCSE and corresponding ones of the 1st2ndCMLSE."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Computationally efficient general matrix-matrix multiplication (GeMM)","description":"A computation unit that comprises (i) a multiplicand vector decomposer that generates a decomposed multiplicand vector which uses a sequence of first and second concatenated multiplicand sub-elements ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11250105","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-11250105","citation_suggestion":"Patentable. \"Computationally efficient general matrix-matrix multiplication (GeMM)\" (US-11250105). https://patentable.app/patents/US-11250105","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11250105","json":"https://patentable.app/api/llm-context/US-11250105","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T06:34:29.748Z"}