Invention Grant
- Patent Title: Inner product convolutional neural network accelerator
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Application No.: US15720982Application Date: 2017-09-29
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Publication No.: US12131250B2Publication Date: 2024-10-29
- Inventor: Ehud Cohen , Moshe Maor , Ashutosh Parkhi , Michael Behar , Yaniv Fais
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Akona IP PC
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06F16/17 ; G06F18/21 ; G06N3/045 ; G06N3/08 ; G06V10/44 ; G06V10/82 ; G06V10/94

Abstract:
A convolutional neural network (CNN) accelerator, including: a CNN circuit for performing a multiple-layer CNN computation, wherein the multiple layers are to receive an input feature according to an input feature map (IFM) and a weight matrix per output feature, wherein an output of a first layer provides an input for a next layer; and a mapping circuit to access a three-dimensional input matrix stored as a Z-major matrix; wherein the CNN circuit is to perform an inner-product direct convolution on the Z-major matrix, wherein the direct convolution lacks a lowering operation.
Public/Granted literature
- US20190102671A1 INNER PRODUCT CONVOLUTIONAL NEURAL NETWORK ACCELERATOR Public/Granted day:2019-04-04
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