{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10515135","patent":{"patent_number":"US-10515135","title":"Data format suitable for fast massively parallel general matrix multiplication in a programmable IC","assignee":null,"inventors":[],"filing_date":"2017-10-17T00:00:00.000Z","publication_date":"2019-12-24T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06F"],"num_claims":20,"abstract":"Methods and apparatus are described for performing data-intensive compute algorithms, such as fast massively parallel general matrix multiplication (GEMM), using a particular data format for both storing data to and reading data from memory. This data format may be utilized for arbitrarily-sized input matrices for GEMM implemented on a finite-size GEMM accelerator in the form of a rectangular compute array of digital signal processing (DSP) elements or similar compute cores. This data format solves the issue of double data rate (DDR) dynamic random access memory (DRAM) bandwidth by allowing both linear DDR addressing and single cycle loading of data into the compute array, avoiding input/output (I/O) and/or DDR bottlenecks."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Data format suitable for fast massively parallel general matrix multiplication in a programmable IC","description":"Methods and apparatus are described for performing data-intensive compute algorithms, such as fast massively parallel general matrix multiplication (GEMM), using a particular data format for both stor","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10515135","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-10515135","citation_suggestion":"Patentable. \"Data format suitable for fast massively parallel general matrix multiplication in a programmable IC\" (US-10515135). https://patentable.app/patents/US-10515135","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10515135","json":"https://patentable.app/api/llm-context/US-10515135","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T14:30:58.225Z"}