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Nvidia patents memory method for processing image sequences

Nvidia describes a way to manage computer memory when analyzing long lists of data, such as images. The system uses a moving section of data called a sliding window to process items in order. It reuses the same memory space by overwriting old data with new items as they arrive.

Why it mattersThis technique helps computers handle continuous data streams more efficiently, which is useful for tasks like video analysis.

In the filing’s own words

Apparatuses, systems, and techniques to allocate memory based on a part of a sequence of items. In at least one embodiment, memory is allocated based on the size of a sliding window used to analyze images with neural networks.

What exactly they claim (claim 1)

1. A computer-implemented method, comprising: allocating contiguous memory; storing, in the contiguous memory, a plurality of sequences of items obtained from a plurality of sources; identifying, using a sliding window spanning at least a portion of each of two or more sequences of the plurality of sequences obtained from two or more sources of the plurality of sources, a segment of the contiguous memory comprising subsets of each of the two or more sequences; obtaining next items in the plurality of sequences; overwriting one or more of the subsets of the segment using the obtained next items to be in order with corresponding sequences of the plurality of sequences.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
Memory allocation for processing sequential data
Patent number
US12730676B2
Application number
17685277
Filed
Mar 2, 2022
Granted
Sep 8, 2026
Inventors
1
Claims
25

Classified under

G06F 9/5016 Physics & computingG06N 3/02 Physics & computingG06N 5/04 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.