Invention Grant
- Patent Title: Shared machine-learning data structure
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Application No.: US16096446Application Date: 2016-06-17
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Publication No.: US11797459B2Publication Date: 2023-10-24
- Inventor: Christian Perone , Carlos Haas , Roberto Pereira Silveira
- Applicant: Hewlett-Packard Development Company, L.P.
- Applicant Address: US TX Houston
- Assignee: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
- Current Assignee: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
- Current Assignee Address: US TX Spring
- Agency: Knobbe, Martens, Olson & Bear, LLP
- International Application: PCT/US2016/038128 2016.06.17
- International Announcement: WO2017/218009A 2017.12.21
- Date entered country: 2018-10-25
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F13/16 ; G06F9/46 ; G06T1/60 ; G06T1/20 ; G06F12/084 ; G06F9/48

Abstract:
Examples include a system comprising a non-volatile memory to store a machine-learning data structure. Examples access the machine-learning data structure with a first processing resource, and examples access the machine-learning data structure with a second processing resource, which includes at least one graphics processing core, such that the machine-learning data structure is a shared memory space of the first processing resource and the second processing resource.
Public/Granted literature
- US20190130300A1 SHARED MACHINE-LEARNING DATA STRUCTURE Public/Granted day:2019-05-02
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