Invention Grant
- Patent Title: Optimized compute hardware for machine learning operations
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Application No.: US15869564Application Date: 2018-01-12
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Publication No.: US10776699B2Publication Date: 2020-09-15
- Inventor: Dipankar Das , Roger Gramunt , Mikhail Smelyanskiy , Jesus Corbal , Dheevatsa Mudigere , Naveen K. Mellempudi , Alexander F. Heinecke
- 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: G06F17/16
- IPC: G06F17/16 ; G06F9/30 ; G06N3/08 ; G06N3/063 ; G06N3/04

Abstract:
One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising a fetch unit to fetch a single instruction having multiple input operands, wherein the multiple input operands have an unequal bit-length, a first input operand having a first bit-length and a second input operand having a second bit-length; a decode unit to decode the single instruction into a decoded instruction; an operand length unit to determine a smaller bit-length of the first bit-length and the second bit-length; and a compute unit to perform a matrix operation on the multiple input operands to generate an output value having a bit length of the smaller bit length.
Public/Granted literature
- US20180322390A1 OPTIMIZED COMPUTE HARDWARE FOR MACHINE LEARNING OPERATIONS Public/Granted day:2018-11-08
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