Invention Grant
- Patent Title: Dynamic deep learning processor architecture
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Application No.: US16146886Application Date: 2018-09-28
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Publication No.: US11442889B2Publication Date: 2022-09-13
- Inventor: Eriko Nurvitadhi , Scott J. Weber , Ravi Prakash Gutala , Aravind Raghavendra Dasu
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Fletcher Yoder, P.C.
- Main IPC: G06F15/76
- IPC: G06F15/76 ; G06N3/08 ; G06N3/063 ; G06N3/04

Abstract:
Methods and systems for dynamically reconfiguring a deep learning processor by operating the deep learning processor using a first configuration. The deep learning processor then tracking one or more parameters of a deep learning program executed using the deep learning processor in the first configuration. The deep learning processor then reconfigures the deep learning processor to a second configuration to enhance efficiency of the deep learning processor executing the deep learning program based at least in part on the one or more parameters.
Public/Granted literature
- US20190042529A1 Dynamic Deep Learning Processor Architecture Public/Granted day:2019-02-07
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