Invention Grant
- Patent Title: Distributed memory-augmented neural network architecture
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Application No.: US17472764Application Date: 2021-09-13
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Publication No.: US11645206B2Publication Date: 2023-05-09
- Inventor: Ahmet Serkan Ozcan , Tomasz Kornuta , Carl Radens , Nicolas Antoine
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Daniel Yeates
- The original application number of the division: US16838294 2020.04.02
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/2453 ; G06F12/02 ; G06F12/0817 ; G06F16/33 ; G06N3/063 ; G11C11/4076 ; G11C11/4093 ; G06F16/2458 ; G06F12/06 ; G06F3/06

Abstract:
A method for using a distributed memory device in a memory augmented neural network system includes receiving, by a controller, an input query to access data stored in the distributed memory device, the distributed memory device comprising a plurality of memory banks. The method further includes determining, by the controller, a memory bank selector that identifies a memory bank from the distributed memory device for memory access, wherein the memory bank selector is determined based on a type of workload associated with the input query. The method further includes computing, by the controller and by using content based access, a memory address in the identified memory bank. The method further includes generating, by the controller, an output in response to the input query by accessing the memory address.
Public/Granted literature
- US20210406181A1 DISTRIBUTED MEMORY-AUGMENTED NEURAL NETWORK ARCHITECTURE Public/Granted day:2021-12-30
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