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US Patent 11748251 Storing tensors in memory based on depth

Patent 11748251 was granted and assigned to Microsoft on September, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Microsoft
Microsoft
Current Assignee
Microsoft
Microsoft
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11748251
Patent Inventor Names
Nitin Garegrat
Derek Gladding
Shankar Narayan
Date of Patent
September 5, 2023
Patent Application Number
17145243
Date Filed
January 8, 2021
Patent Citations
‌
US Patent 10228937 Programmable matrix processing engine
‌
US Patent 11222258 Load balancing for memory channel controllers
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US Patent 10460416 Inline image preprocessing for convolution operations using a matrix multiplier on an integrated circuit
‌
US Patent 7453720 Magnetic random access memory with stacked toggle memory cells having oppositely-directed easy-axis biasing
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US Patent 8947937 Host-managed logical mass storage device using magnetic random access memory (MRAM)
‌
US Patent 9141916 Using embedding functions with a deep network
‌
US Patent 9542119 Solid-state mass storage media having data volumes with different service levels for different data types
‌
US Patent 9940026 Multidimensional contiguous memory allocation
Patent Primary Examiner
‌
Shawn X Gu
CPC Code
‌
G06F 2212/1008
‌
G06F 12/0223

Embodiments of the present disclosure include systems and methods for storing tensors in memory based on depth. In some embodiments, for each of a plurality of sets of elements in a three-dimensional (3D) matrix, a position is determined along a height axis and width axis of the 3D matrix. At the determined position, a set of elements are identified along a depth axis of the 3D matrix. The set of elements are stored in a contiguous block of memory.

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