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US Patent 12118451 Deep convolutional network heterogeneous architecture

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
121184510
Patent Inventor Names
Fabio Giuseppe De Ambroggi0
Thomas Boesch0
Tommaso Majo0
Surinder Pal Singh0
Nitin Chawla0
Giuseppe Desoli0
Elio Guidetti0
Paolo Sergio Zambotti0
Date of Patent
October 15, 2024
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Patent Application Number
154232720
Date Filed
February 2, 2017
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Patent Citations
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US Patent 9020276 Hardware coprocessor for stripe-based interest point detection
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US Patent 10417560 Neural network unit that performs efficient 3-dimensional convolutions
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US Patent 10438115 Neural network unit with memory layout to perform efficient 3-dimensional convolutions
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US Patent 10452605 Method and apparatus for task scheduling on heterogeneous multi-core reconfigurable computing platform
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US Patent 10482155 Winograd algorithm on a matrix processing architecture
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US Patent 10546211 Convolutional neural network on programmable two dimensional image processor
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US Patent 10552222 Task scheduling method and apparatus on heterogeneous multi-core reconfigurable computing platform
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US Patent 10586148 Neural network unit with re-shapeable memory
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...
Patent Primary Examiner
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Omar F Fernandez Rivas
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CPC Code
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G06N 3/04
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G06F 15/7817
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G06F 13/4022
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Patent abstract

Embodiments are directed towards a system on chip (SoC) that implements a deep convolutional network heterogeneous architecture. The SoC includes a system bus, a plurality of addressable memory arrays coupled to the system bus, at least one applications processor core coupled to the system bus, and a configurable accelerator framework coupled to the system bus. The configurable accelerator framework is an image and deep convolutional neural network (DCNN) co-processing system. The SoC also includes a plurality of digital signal processors (DSPs) coupled to the system bus, wherein the plurality of DSPs coordinate functionality with the configurable accelerator framework to execute the DCNN.

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