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US 2025/0053796 A1Published application
In-storage machine learning operations
AssigneeSamsung Electronics Co., Ltd.
InventorsJaeyoon KIM, Joon Hee CHOI, Chiho CHOI, Srikanth MALLA
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Abstract
A system and method for in-storage machine learning operations. In some embodiments, a system includes a first persistent memory, and a control and inference circuit. The first persistent memory may be connected to the control and inference circuit by a wideband data connection, and the control and inference circuit may be configured to perform arithmetic operations.
Claims20
A system, comprising:
- a first persistent memory;
- and
- a control and inference circuit,
- wherein:
- the first persistent memory is connected to the control and inference circuit by a wideband data connection;
- and
- the control and inference circuit is configured to perform arithmetic operations.
4 more elements
A method, comprising:
- performing an inference operation of a neural network,
- the performing comprising:
- reading a weight from a persistent memory into a random-access memory;
- multiplying the weight by an element of an input feature map to form a first product;
- and
- calculating an activation based on the first product,
- wherein the reading of the weight from the persistent memory into the random-access memory comprises reading the weight from the persistent memory into the random-access memory through a wideband data connection.
4 more elements
A device, comprising:
- a connector;
- a first persistent memory;
- and
- a control and inference circuit,
- wherein:
- the first persistent memory is connected to the control and inference circuit by a wideband data connection;
- and
- the connector is suitable for connecting the device to a mobile computing device.
5 more elements
Dependencies are inferred from the claim text.