Invention Grant
- Patent Title: Neural network data computation using mixed-precision
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Application No.: US16985307Application Date: 2020-08-05
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Publication No.: US11615307B2Publication Date: 2023-03-28
- Inventor: James Hippisley Robinson , Sanjay Patel
- Applicant: MIPS Tech, LLC
- Applicant Address: US CA Santa Clara
- Assignee: MIPS Tech, LLC
- Current Assignee: MIPS Tech, LLC
- Current Assignee Address: US CA Santa Clara
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F7/544 ; G06N3/063

Abstract:
Techniques for mixed-precision data manipulation for neural network data computation are disclosed. A first left group comprising eight bytes of data and a first right group of eight bytes of data are obtained for computation using a processor. A second left group comprising eight bytes of data and a second right group of eight bytes of data are obtained. A sum of products is performed between the first left and right groups and the second left and right groups. The sum of products is performed on bytes of 8-bit integer data. A first result is based on a summation of eight values that are products of the first group's left eight bytes and the second group's left eight bytes. A second result is based on the summation of eight values that are products of the first group's left eight bytes and the second group's right eight bytes. Results are output.
Public/Granted literature
- US20210034979A1 NEURAL NETWORK DATA COMPUTATION USING MIXED-PRECISION Public/Granted day:2021-02-04
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