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US Patent 11762793 Direct memory access architecture with multi-level multi-striding

Patent 11762793 was granted and assigned to Google on September, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Google
Google
Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11762793
Patent Inventor Names
Mark William Gottscho
Thomas Norrie
Oliver Edward Bowen
Matthew William Ashcraft
Date of Patent
September 19, 2023
Patent Application Number
17728478
Date Filed
April 25, 2022
Patent Citations
‌
US Patent 11314674 Direct memory access architecture with multi-level multi-striding
‌
US Patent 10699182 Depth concatenation using a matrix computation unit
‌
US Patent 7529245 Reorder mechanism for use in a relaxed order input/output system
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US Patent 7577772 Method and system for optimizing DMA channel selection
‌
US Patent 8843727 Performance enhancement of address translation using translation tables covering large address spaces
‌
US Patent 9836691 Neural network instruction set architecture
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US Patent 9946539 Accessing data in multi-dimensional tensors using adders
Patent Primary Examiner
‌
Paul R. Myers
CPC Code
‌
G06F 13/28
Patent abstract

DMA architectures capable of performing multi-level multi-striding and determining multiple memory addresses in parallel are described. In one aspect, a DMA system includes one or more hardware DMA threads. Each DMA thread includes a request generator configured to generate, during each parallel memory address computation cycle, m memory addresses for a multi-dimensional tensor in parallel and, for each memory address, a respective request for a memory system to perform a memory operation. The request generator includes m memory address units that each include a step tracker configured to generate, for each dimension of the tensor, a respective step index value for the dimension and, based on the respective step index value, a respective stride offset value for the dimension. Each memory address unit includes a memory address computation element configured to generate a memory address for a tensor element and transmit the request to perform the memory operation.

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