Invention Grant
- Patent Title: Instructions and logic to perform floating-point and integer operations for machine learning
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Application No.: US15787129Application Date: 2017-10-18
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Publication No.: US10474458B2Publication Date: 2019-11-12
- Inventor: Himanshu Kaul , Mark A. Anders , Sanu K. Mathew , Anbang Yao , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Tatiana Shpeisman , Abhishek R. Appu , Altug Koker , Kamal Sinha , Balaji Vembu , Nicolas C. Galoppo Von Borries , Eriko Nurvitadhi , Rajkishore Barik , Tsung-Han Lin , Vasanth Ranganathan , Sanjeev Jahagirdar
- 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: G09G5/00
- IPC: G09G5/00 ; G06F9/30 ; G09G5/393 ; G06F9/38 ; G06F7/483 ; G06F7/544 ; G06N3/04 ; G06N3/063 ; G06N3/08 ; G06T15/00 ; G06N20/00
Abstract:
One embodiment provides for a machine-learning hardware accelerator comprising a compute unit having an adder and a multiplier that are shared between integer data path and a floating-point datapath, the upper bits of input operands to the multiplier to be gated during floating-point operation.
Public/Granted literature
- US20180315398A1 INSTRUCTIONS AND LOGIC TO PERFORM FLOATING-POINT AND INTEGER OPERATIONS FOR MACHINE LEARNING Public/Granted day:2018-11-01
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