Invention Grant
- Patent Title: Hardware node with position-dependent memories for neural network processing
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Application No.: US15637426Application Date: 2017-06-29
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Publication No.: US11144820B2Publication Date: 2021-10-12
- Inventor: Eric S. Chung , Douglas C. Burger , Jeremy Fowers
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Singh Law, PLLC
- Agent Ranjeev Singh
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06N3/04 ; G06F9/38 ; G06F17/16

Abstract:
Processors and methods for neural network processing are provided. A method in a processor including a pipeline having a matrix vector unit (MVU), a first multifunction unit connected to receive an input from the matrix vector unit, a second multifunction unit connected to receive an output from the first multifunction unit, and a third multifunction unit connected to receive an output from the second multifunction unit is provided. The method includes decoding a chain of instructions received via an input queue, where the chain of instructions comprises a first instruction that can only be processed by the matrix vector unit and a sequence of instructions that can only be processed by a multifunction unit. The method includes processing the first instruction using the MVU and processing each of instructions in the sequence of instructions depending upon a position of the each of instructions in the sequence of instructions.
Public/Granted literature
- US20180247185A1 HARDWARE NODE WITH POSITION-DEPENDENT MEMORIES FOR NEURAL NETWORK PROCESSING Public/Granted day:2018-08-30
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