Invention Grant
- Patent Title: Artificial neural network implementation in field-programmable gate arrays
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Application No.: US16270778Application Date: 2019-02-08
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Publication No.: US11783200B2Publication Date: 2023-10-10
- Inventor: Dionysios Diamantopoulos , Heiner Giefers , Christoph Hagleitner
- 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: Scully, Scott, Murphy & Presser, P.C.
- Agent Daniel P. Morris
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/10 ; G06N3/08

Abstract:
Field-programmable gate array and method to implement an artificial neural network. A trained model of the neural network is processed, in which weights are defined in a floating-point format, to quantize each set of weights to a respective reduced-precision format in dependence on effect of quantization on accuracy of the model. For each set of weights, a partitioning scheme is defined for a set of block memories of the apparatus such that a plurality k of those weights can be stored in each addressable location of the set of memories, wherein k differs for different sets of weights. The apparatus can be programmed to implement the neural network such that weights in each set are persistently stored in a set of block memories partitioned according to the partitioning scheme for that set of weights.
Public/Granted literature
- US20200257986A1 ARTIFICIAL NEURAL NETWORK IMPLEMENTATION IN FIELD-PROGRAMMABLE GATE ARRAYS Public/Granted day:2020-08-13
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