Invention Grant
- Patent Title: Distribution of machine learning workflows on webscale infrastructures
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Application No.: US17239822Application Date: 2021-04-26
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Publication No.: US12081636B2Publication Date: 2024-09-03
- Inventor: Andrea Enrici
- Applicant: Nokia Solutions and Networks Oy
- Applicant Address: FI Espoo
- Assignee: Nokia Solutions and Networks Oy
- Current Assignee: Nokia Solutions and Networks Oy
- Current Assignee Address: FI Espoo
- Agency: Harness, Dickey & Pierce, P.L.C.
- Main IPC: H04L67/60
- IPC: H04L67/60 ; G06F16/901 ; H04L41/12

Abstract:
A network device includes processing circuitry configured to cause the network device to: partition a flow graph for an application to generate a partitioned graph of nodes and edges, each of the nodes including computations mapped to an execution unit to execute at least a portion of the application, and each of the edges denoting communications between execution units; determine whether the partitioned graph is an irreducible graph; and schedule the computations and the communications for execution in response to determining that the partitioned graph is an irreducible graph.
Public/Granted literature
- US20220345535A1 DISTRIBUTION OF MACHINE LEARNING WORKFLOWS ON WEBSCALE INFRASTRUCTURES Public/Granted day:2022-10-27
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