- 专利标题: Extracting features from a NoC for machine learning construction
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申请号: US15403723申请日: 2017-01-11
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公开(公告)号: US10084725B2公开(公告)日: 2018-09-25
- 发明人: Pier Giorgio Raponi , Nishant Rao , Sailesh Kumar
- 申请人: NetSpeed Systems, Inc.
- 申请人地址: US CA San Jose
- 专利权人: NETSPEED SYSTEMS, INC.
- 当前专利权人: NETSPEED SYSTEMS, INC.
- 当前专利权人地址: US CA San Jose
- 代理机构: Procopio, Cory, Hargreaves & Savitch LLP
- 主分类号: H04L12/721
- IPC分类号: H04L12/721 ; H04L12/933 ; H04L12/761 ; H04L12/773 ; H04L12/751
摘要:
The present disclosure is directed to extracting features from a NoC for machine learning construction. Example implementations include a method for generating a Network on Chip (NoC), wherein the method can extract at least one feature from a NoC specification to derive at least one of: grid features, traffic features and topological features associated with the NoC. The method can perform a process on the at least one of the grid features, the traffic features and the topological features associated with the NoC to determine at least one of an evaluation of at least one mapping strategy selected from a plurality of mapping strategies of the NoC based on a quality metric, and the selection of the at least one mapping strategy is based on the quality metric. The method can further perform generate the NoC based on the process.
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