Invention Grant
- Patent Title: Scheduling configuration for deep learning networks
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Application No.: US15499900Application Date: 2017-04-28
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Publication No.: US11599777B2Publication Date: 2023-03-07
- Inventor: Eran Ben-Avi , Neta Zmora , Guy Jacob , Lev Faivishevsky , Jeremie Dreyfuss , Tomer Bar-On , Jacob Subag , Yaniv Fais , Shira Hirsch , Orly Weisel , Zigi Walter , Yarden Oren
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Jaffery Watson Mendonsa & Hamilton LLP
- Main IPC: G06N3/00
- IPC: G06N3/00 ; G06N3/063 ; G06N3/084 ; G06N3/044 ; G06N3/045

Abstract:
In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of solutions to implement the deep learning network. Other embodiments are also disclosed and claimed.
Public/Granted literature
- US20180314934A1 SCHEDULING CONFIGURATION FOR DEEP LEARNING NETWORKS Public/Granted day:2018-11-01
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N3/00 | 基于生物学模型的计算机系统 |