Invention Grant
- Patent Title: Architecture exploration and compiler optimization using neural networks
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Application No.: US17225946Application Date: 2021-04-08
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Publication No.: US11556684B2Publication Date: 2023-01-17
- Inventor: Amir Yazdanbakhsh
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06F8/30
- IPC: G06F8/30 ; G06F30/27 ; G06F8/41 ; G06N3/04 ; G06F30/337

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing integrated circuit architectures or compiler designs using an optimization engine. The optimization engine includes an auto-encoder and one or more regressors. Once trained, the optimization engine can encode initial, discrete input values of a set of input characteristics into a continuous domain and use continuous optimization techniques to identify final input values of the set of input characteristics that optimize one or more output characteristics.
Public/Granted literature
- US20210319157A1 ARCHITECTURE EXPLORATION AND COMPILER OPTIMIZATION USING NEURAL NETWORKS Public/Granted day:2021-10-14
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