{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11487589","patent":{"patent_number":"US-11487589","title":"Self-adaptive batch dataset partitioning for distributed deep learning using hybrid set of accelerators","assignee":null,"inventors":[],"filing_date":"2018-09-17T00:00:00.000Z","publication_date":"2022-11-01T00:00:00.000Z","cpc_codes":["H04L","G06F","G06F","G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06T","G06V","G06V","G06F","G06F","G06F","G06N","G06N"],"num_claims":23,"abstract":"Systems and methods are provided for implementing a self-adaptive batch dataset partitioning control process which is utilized in conjunction with a distributed deep learning model training process to optimize load balancing among a set of accelerator resources. An iterative batch size tuning process is configured to determine an optimal job partition ratio for partitioning mini-batch datasets into sub-batch datasets for processing by a set of hybrid accelerator resources, wherein the sub-batch datasets are partitioned into optimal batch sizes for processing by respective accelerator resources to minimize a time for completing the deep learning model training process."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Self-adaptive batch dataset partitioning for distributed deep learning using hybrid set of accelerators","description":"Systems and methods are provided for implementing a self-adaptive batch dataset partitioning control process which is utilized in conjunction with a distributed deep learning model training process to","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11487589","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-11487589","citation_suggestion":"Patentable. \"Self-adaptive batch dataset partitioning for distributed deep learning using hybrid set of accelerators\" (US-11487589). https://patentable.app/patents/US-11487589","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11487589","json":"https://patentable.app/api/llm-context/US-11487589","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T04:23:43.269Z"}