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US Patent 11610362 Data volume sculptor for deep learning acceleration

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TimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
116103621
Patent Inventor Names
Surinder Pal Singh1
Thomas Boesch1
Giuseppe Desoli1
Date of Patent
March 21, 2023
1
Patent Application Number
171940551
Date Filed
March 5, 2021
1
Patent Citations
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US Patent 11227086 Reconfigurable interconnect
1
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US Patent 11270201 Communication optimizations for distributed machine learning
1
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US Patent 10366050 Multi-operation neural network unit
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US Patent 10372456 Tensor processor instruction set architecture
1
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US Patent 10402527 Reconfigurable interconnect
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US Patent 10657668 Systems and methods for detecting and tracking a marker
1
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US Patent 10949736 Flexible neural network accelerator and methods therefor
Patent Citations Received
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US Patent 11977971 Data volume sculptor for deep learning acceleration
5
Patent Primary Examiner
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Andrew W Johns
1
CPC Code
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G06V 10/22
1
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G06V 10/25
1
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G06F 16/5854
1
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G06F 16/587
1
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G06F 16/90
1
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G06T 7/62
1
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G06F 16/909
1
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G06T 7/60
1
...

A device include on-board memory, an applications processor, a digital signal processor (DSP) cluster, a configurable accelerator framework (CAF), and at least one communication bus architecture. The communication bus communicatively couples the applications processor, the DSP cluster, and the CAF to the on-board memory. The CAF includes a reconfigurable stream switch and data volume sculpting circuitry, which has an input and an output coupled to the reconfigurable stream switch. The data volume sculpting circuitry receives a series of frames, each frame formed as a two dimensional (2D) data structure, and determines a first dimension and a second dimension of each frame of the series of frames. Based on the first and second dimensions, the data volume sculpting circuitry determines for each frame a position and a size of a region-of-interest to be extracted from the respective frame, and extracts from each frame, data in the frame that is within the region-of-interest.

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