Synthetic Scaling Applied to Shared Neural Networks
AssigneeGigantor Technologies Inc.
InventorMark Ashley Mathews
Life of this patent
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Abstract
A system processing a stream of input data ordered row by row from a data array has a first integrated circuit (IC) adapted to apply an aperture function to the stream of input data, to produce an output data stream, and a second IC coupled to the first IC, the second IC adapted to manage context from row to row, retaining partial values as computed by the aperture function for each column along a row, and providing the partial values back to the aperture function for subsequent rows as needed to complete output values.
Claims18
A system processing a stream of input data ordered row by row from a data array, comprising:
- a first integrated circuit (IC) adapted to apply an aperture function to the stream of input data, to produce an output data stream;
- and
- a second IC coupled to the first IC, the second IC adapted to manage context from row to row, retaining partial values as computed by the aperture function for each column along a row, and providing the partial values back to the aperture function for subsequent rows as needed to complete output values.
A system producing an interleaved, multi-scale sample stream from a full-scale 1:1 array stream, comprising:
- a first FIFO circuit receiving and delaying the full-scale 1:1 array stream;
- a U:1 sampler circuit receiving the full-scale 1:1 array stream, producing a U:1 downscaled stream;
- a second FIFO circuit receiving and delaying the U:1 downscaled stream;
- and
- a multiplexor circuit receiving output from the FIFO circuits, and producing an interleaved, multi-scale sample stream.
Dependencies are inferred from the claim text.